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Make cloud, blockchain & AI technologies work for you

Upgrade your legacy applications to fit in with your digital transformation platform

Altoros is a professional services company that helped 50+ Global 2000 organizations to obtain sustainable competitive advantage through adoption of innovative technologies. We offer methodology, training, technology building blocks, and deep industry knowledge for cloud automation, microservices, blockchain, and AI.

Boost Your Agility with the Leading Cost-Efficient Platform

Upgrade your legacy applications to fit in with your digital transformation platform

Kubernetes is a free open-source container orchestration solution, which is applicable to any infrastructure and allows for quick facilitation of each business flow processing. As a Kubernetes adept, Altoros delivers full-scale solutions for Fortune 500 enterprise companies, enabling them with resilient, highly available deployments and transforming the future of software development.

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Sections

10+
YEARS of Development
120
Finished Projects
350
Full-time employees
5
Offices

Featured Partners

Altoros partners with top IT industry leaders to provide the highest level of technical expertise, to access best practices, and to find the most appropriate solutions for our customers.

Benefits

  • Learn effectively from our blockchain trainers and start off smoothly.
  • Get an expert advice on the stage of PoC requirements elaboration.
  • Take advantage of our “Two for the Price of One” special offer.

What We Offer

2-day private training session plus PoC developed on the Hyperledger Fabric framework in 10-12 weeks
Get started
Multi-node

Production ready Hyperledger Fabric network for a starting consortium of 3 Organizations with Kafka consensus mechanism

Up to 3 standard Smart contracts (Chaincode)

with business functionality of your choice:

  • Finance (Asset creation & P2P transfer)
  • Supply chain management (Traceability of goods)
  • Intellectual property (license) management
  • Other use case relevant for your business
User Interface

Complete and fully working web-based user interface connected to the network through a REST API

PoC deployment + Documentation

  • Network architecture
  • Deployment instructions
  • Workflow blueprint
  • Chaincode
  • Admin / User instructions
  • Test scenarios

A free private Blockchain training for your team prior to PoC development included.

What Our Customers Say

«I really loved the training, its hands-on nature was essential in learning BOSH, which is—everybody knows—very complicated. I think it was thorough and informative, and I would totally recommend it to any potential customer who is looking at, trying to use, or setting up Cloud Foundry.»

Wes GruverConsulting instructor, Pivotal

Learn more

Customers and organizations that already use Cloud Foundry

You don't need a specific-skilled team and expertise to make use
of your data

We are here to take over your challenges hindering you from better use of Data Science and Machine Learning techniques, approaches and models.

Senior systems architect

“In my 15+ years of hardware and software systems development, I have worked with numerous contracting firms. I have always questioned the true value of working with outside teams as the cost of managing them was always comparable to the value of the services delivered. However, working with Altoros was quite a different experience as I have never worked with a more efficient, cooperative, and skilled programming team. They consistently met every target set for them, usually ahead of their own estimates. In addition to providing very skilled labour, they consistently sought to offer their skilled knowledge in project management, software development processes, and system testing. I would definitely recommend them to anyone requiring enterprise database application design and development.”

Thomas Sundgren
Product manager at mittmedia
Landon Swan
Co-founder of likefolio
Nolan Zandi
Founder and lead solution architect/engineer at zanobo partners
Paul Caponetti
Director of engineering at xively by logmein
Katelyn Huber
Product manager, cipherhealth
New York, NY
www.cipherhealth.com

“Our experience with Altoros on the project was wonderful. We never had any communication problems, we had all of our needs taken care right away. I would absolutely recommend Altoros for any software development project. They are very flexible, very accommodating to your needs, and they would appreciate any opportunity to work with your team.”

Paul Lothridge
Director of program management, nuodb
Cambridge, MA
www.nuodb.com

“If we were going to be serious about enabling our users to move their existing SQL databases to NuoDB’s distributed NewSQL database solution, then we had to provide a powerful and simple means to do so. Just like with many startup companies our engineering team executes beyond expectation, but that does not mean it is without its limits. While already operating at capacity we turned to Altoros to take on the development of these critical customer tools. They offered their skills in every aspect of the project, from administration to design and development. The end product is a set of open source tools that are uniquely flexible, and elegantly simple in solving a set of complex problems for our customers. We are indeed quite pleased with the partnership we’ve built with Altoros.”

Kalle A. Ojala
Chief product officer, medisapiens ltd.
Helsinki, Finland
www.medisapiens.fi
Christopher Adorna
Sony design center
Los Angeles, CA
www.sony.net

“We highly recommend Altoros to rapidly build complex applications using cutting edge technologies. Again, great job!”

Kim Jonassen
project manager at locus as
Denmark
www.locus.dk

“The Altoros team demonstrated a high level of expertise and the ability to work efficiently, meeting the requirements, timeframes, and delivering a quality product.”

Chaz Giles
co-founder of mom trusted
Cincinnati, OH
www.momtrusted.com

“It was really important for us to keep Mom Trusted available online during the development process, no matter what changes were made. Not only did the Altoros team follow the requirement, but they implemented it smoothly and with a sense of urgency.”

James L. White
ceo ldc direct, ltd. co. d/b/a budgetlinx
Atlanta, GA

“We have been using Altoros exclusively for our programming for about one year. From the beginning, they have proven to be very professional, competent, and quite resourceful. In most cases, we were able to get responses from Altoros either the next business day and, in many cases, the same day. As a bonus, we received quite a few valuable recommendations to improve our application from Altoros – most of which we would have not otherwise considered. All in all, they have a great team!”

Thomas Hamm
ceo at consafe logistics as

“We have worked closely with Altoros since the fall of 2006, and they have shown expert skills and good business understanding, along with the ability to familiarize themselves with new technology. We look at Altoros as an extended development team with advanced business skills that can be reused in our new projects.”

Aydin B.K.
ceo at nuvopoint

“For a long period of time, we had expensive and time-consuming in-house development, but we realized that this was too static and slow for our kind of business. To maintain our leading position in the market, we chose to get help from Altoros, not only because of the lower cost, but also because of their highly skilled developers and know-how within the platforms and technologies we wish to use in the future.”

Edward Thomas
president of primed, inc.
Tampa, FL

“Since the first day of co-operating, Altoros proved itself as a highly qualified team of professionals. We want to note that, apart from such obvious things as quality, terms, and discipline, the team was distinguished in understanding the importance of customer satisfaction. Our company opted for Altoros’s “local management — offshore development” model. The engagement was structured to maximize the strength of Altoros’s two-tier approach: strong on-site project and architecture management and an offshore production/development team at their development center in Minsk, Belarus. As a result, our company achieved business objectives and goals and increased customer service levels with the new system Altoros delivered.”

Lars Svenkerud
cto at touch technology as
Norway
www.touch.no

“We’ve managed to launch a new service in the market in a very short time. Creative developers from Altoros brought their best efforts to implement our challenging ideas.”

Our customers

Here is what our customers say about us
Biggest value of the course? Combination of conceptual and practical contents. Also, shared personal experiences and views were particularly valuable.
Great experience. Very knowledgeable and friendly trainers. Biggest value of the course -Practical examples/issues the trainers provided based on their experience.
What did I like most at the training? Both high level and the details of machine learning.
I enjoyed the class and learned a lot even though there was so much content jammed into a very small time. The most enjoyable was deep neural nets and seeing some of the largest examples. The most valuable thing professionally will probably be the classification clustering that I have learned K-NN probably.

What Attendees Say

Here's what attendees say about our events
Deep Learning for Advanced Analytics
ML-01
ML-03
DL-01
DL-02
DL-03
Great experience. Very knowledgeable and friendly trainers. Practical examples/issues the trainers provided based on their experience.
Ramesh Balasubramanian, Machine and Deep Learning training in San Diego
Neural Networks and Deep Learning
ML-01
DL-01
DL-02
DL-03
DL-04
Combination of conceptual and practical contents. Also, shared personal experiences and views were particularly valuable.
Arpad Rozsas, Neural Networks and Deep Learning course in Madrid
Modern Applications of Machine Learning
ML-01
DL-01
Workshop
I enjoyed the class and learned a lot even though there was so much content jammed into a very small time. The most enjoyable was deep neural nets and seeing some of the largest example. The most valuable thing professionally will probably be the classification clustering that I have learned K-NN probably
Mark, Machine Learning training in Washington DC

What We Can Offer

1
Proof of concept
Validating your business ideas, we can help you to understand what value AI can bring to your operations and get early feedback.
2
Minimum viable product
When time-to-market is crucial, Altoros will assist you in developing a competitive, innovative solution delivered to end users.
3
Training
Whether your team lacks required expertise or need more inspirations, we’d be happy to share our experience in with popular machine learning frameworks.
4
Consultancy
Stumbled upon technology bottlenecks or need help with understanding what AI brings in? Our company will help you to find the roots of the problems, get independent evaluation of different frameworks or your own solutions, etc.

What we can offer

See your ideas implemented into real life and bringing revenue.

1
Cloud infrastructure automation
The “infrastructure-as-code” principle underpins continuous delivery, as only immutable infrastructures and smart server configuration management can enable automated software production lines. The solutions delivered by Altoros are based on Terraform, Chef, Ansible, BOSH, Puppet, or other tools tried-and-tested in real-life projects.
2
Platform deployment
Altoros’s Cloud Foundry proof-of-concept and enablement service is a cost-efficient way to get a taste of how the cloud-native platform technology can be leveraged to bolster your delivery pipelines with blue/green deployments, BOSH release engineering tooling, or environment parity across the entire build lifecycle.
3
CI server setup
A complete, full-scale deployment of the continuous integration system of your choice (Concourse, Jenkins, or any other automation engine for constant monitoring, code analysis, unit, and integration tests) that is monitored (metrics and logs) and documented.
4
Delivery pipelines configuration
Our DevOps engineers will set up and configure a deployment pipeline with an optimal test suite, aligned with your company’s value stream map. All pipelines are created based on unified approaches with a minimized number of inputs.

Professional Cloud Foundry support with Altoros is

1
24/7 Business Continuity
A team of engineers with in-depth understanding of all CF components will set up platform monitoring to detect and resolve possible issues before they affect your business, while maintenance and troubleshooting of CI/CD pipelines will allow us to promotecontinuous deliveryof your product changes down the dev / QA / prod pipeline.
2
Data Integrity in the Face of Disaster
Full data replication between different data centers, including those located in different geographical regions, ensures that no piece of business-critical information is ever lost. With custom-fit backup/recovery solutions, Altoros’s team will make sure all your environments can be quickly reproduced in case of a disaster.
3
Zero Disruption Upgrade
Each platform release brings valuable functionality and improvements your organization does not want to miss. Altoros’s engineers will ensure that your single- or multi-datacenter deployment, with all its platform components, service brokers, and BOSH-managed backing services, is relevant and up to date.

3 Customer Experience Trends
You Can't Ignore in 2019

1
Personalized Сontent
Personalization, aka one-to-one marketing, is the key to delivering delightful customer experiences.
2
Automated Decision Engines
Automated, real-time decision making helps companies test and learn from new customer experience with less human intervention.
3
Omni Channel Experiences
Consumers expect consistent, unified interactions from channel to channel and from each touch point to the next.

What we offer

Product development
We develop competitive and innovative blockchain solutions to deliver proof of concept, minimum viable product and production-grade solutions to our enterprise clients.
Training Programs
We deliver custom and instructor-led blockchain training programs at both the executive and developer levels, providing attendees unparalleled access to top-notch tools and use-cases.
Blockchain consulting
We help enterprises to start off their blockchain journey by evaluating the necessity of DLT technology adoption, product scoping, technical architecture design, and implementation set up.
Deployment automation
We leverage our network infrastructure experience and an extensive library of custom-developed automations and database configuration to manage the heavy lifting on the back-end.
Data privacy
Data and transaction privacy is one of the blockchain technology pillars. We assist clients in building, vetting and testing all critical aspects of their data and privacy management strategy.

Industries We Serve

Finance and Banking
  • easily replicated or reused finance workflows
  • real-time process monitoring and analytics
  • cognitive extension, no more paperwork
  • digitized communication
Insurance
  • underwriting process management
  • improved regulatory compliance
  • customer support management
Manufacturing
  • real-time monitoring and analytics
  • an ability to bridge digital platforms with paper
  • intelligent ERP automation
Retail
  • real-time sales analytics
  • invoice management
  • data-driven in-store planning
  • supply chain management
  • customer support management
Healthcare
  • simplifying patient appointment scheduling
  • speeding up account settlements
  • streamlining claims management
  • implementing discharge instructions
  • managing healthcare workflows
Energy
  • transaction management
  • enhanced customer experience
  • improved risk recognition
  • speed and accuracy of decision-making
  • management of equipment condition

How to implement
the algorithm in business

1
Baseline model
We implement the algorithms, add necessary features, and create a baseline model that fits your business needs. Use our algorithms as a starting point to reduce time to market!
2
Retraining
The data set is getting trained and the model is being updated. As a result, thousands of car models and their parts can be detected and identified.
3
Roll out
A final solution discovers and detects car parts and estimates whether they are damaged or not. Based on the level of damage, a user gets the suggestion to repair or replace a part.

Cloud Foundry provides businesses with everything they need to succeed

1
Speed
Thousands of product releases per day
The shortest path from concept to production: 10 seconds from code commit to release.
2
Scalability
Out-of-the-box application scalability
Automated application scaling for development teams. Out-of-the-box platform scalability and support for zero-downtime and enterprise-level SLAs.
3
Security
Enterprise-level approach to security
Full automation eliminating any chance of human error, integration with existing security systems, approaches based on modern standards and regulations.

So, how will a data analytics competition operated by Altoros work exactly?

We take care of:

  • Developing a hypothesis on how to improve business processes with AI
  • Organizing the competition at Kaggle or a similar platform
  • Anonymizing data sets or making them publicly available
  • Accessing the required cloud infrastructure (requires moderate network and storage bandwidth)
  • Validating the results of the competition
  • Selecting the most efficient AI models

Why permissioned blockchain

  • Pre-verification of the participating parties within the network is required
  • All data must be shared between participants (companies or its departments)
  • Companies with multiple departments need either to request or grant access to the information
  • All data must be completely and permanently recorded
  • Any intermediaries need to be eliminated
  • Any data loss and security risks must come to naught

Why Partner

Partnering with Altoros will help you to expand your technology portfolio, engage customers, and fill the blockchain skills gap.

As a Partner, you will get:

  • A free 1-day blockchain business training
  • Free evaluation of a use case or an idea for a private blockchain solution
  • Blockchain business and technical consulting for your customers
  • Business analysis and support in PoC/MVP requirements elaboration
  • Advanced training programs:
    • Blockchain Business Training
    • Hyperledger Fabric Developer Course

Services

Altoros’s services address a wide range of Tier 2 and Tier 3 support issues, including severe and complex ones that may require editing configuration files and/or source code, re-deploying components, and more:

  • Optimization of single-data-center deployments
  • Optimization of multiple data center deployments
  • Troubleshooting Cloud Foundry, service brokers, and runtimes
  • Troubleshooting BOSH and BOSH releases
  • Questions related to customer-specific deployments and network topologies

The Key to Effective Marketing
of the Future: Predictive Analytics

  • 80% of the advertising process will be automated by 2022 — says Phil Gaughran, U.S. chief integration officer at agency McGarryBowen.
  • By 2020, over a billion people worldwide will regularly access AR and VR content — foresees IDC.
  • Social media advertising will be worth $50.2 billion in 2019 and will overtake newspaper advertising by 2020 — predicts Zenith.

Our approach

  • We employ strong technical expertise of our experienced blockchain engineers.
  • We control the process of integrating a blockchain-based infrastructure with the existing systems and processes.
  • We provide training for end users and help-desk support personnel.

As a leading Kubernetes development and implementation provider, Altoros employs state-of-the-art tools to bring your blockchain solution online.

Brief agenda for a corporate blockchain training:

  • Overview of Hyperledger Project and its frameworks for business: INDY, IROHA, SAWTOOTH
  • Hyperledger FABRIC architecture, elements, transactions processing, smart contracts functioning
  • Use cases overview: listing an asset (object of rights) on the platform, transfer of rights, tracking the history of events/objects in an immutable distributed ledger
  • Test network deployment and transactions processing: local and multi-server mode

Blockchain technology use cases in financial services

Securities transfer: implementation of functionality of the depository institution

  • Listing of securities on the trading platform
  • Matching of securities transfer instructions created by the Issuer and the Investor
  • Delivery vs. Payment check
  • Instant update of DEPO accounts of security holders
see demo

Over-The-Counter (OTC) market: inter-bank P2P trading platform

  • The dashboard displaying bids & offers of market-makers, signed by their digital keys as firm proposals
  • Deals ledger as a common source of “truth”: immutable and transparent
  • “Private collections” function introduced in Hyperledger Fabric allowing to keep sensitive information private
  • Graphics indicating price & volume trends during the trading day
see demo

What We Offer

  • Structured data recognition
  • Detection of structural elements (e.g., page headers, footnotes, page numbers, etc.)
  • Text extraction from documents with a complex layout
  • Tables and graphs detection
  • Table of contents (ToC) recognition
  • Establishing links between content and a corresponding ToC item

Knowledge Extraction

  • Recognizing distinct entities, such as numbers, names, phones, dates, specific instances, locations, organizations, etc.
  • Establishing relations between distinct entities (e.g., a person relates to some contact info, places to locations, numbers turn into quantities, etc.)
  • Extracting keywords and summarizing texts
  • Categorizing and comparing texts
  • Topic modelling

Let our machine learning algorithms
help you to make a decision faster

Car Parts Identification

  • Parts localization and segmentation. The model identifies the main external vehicle parts, such as a hood, bumper, or lamps, and provides a comprehensive auto parts analysis.
  • Photo quality control. The algorithms estimate and check the quality of photos in advanсe ensuring an auto-focus on the main car parts eliminating the risk of blurred, over- and underexposed images.
  • Photostream processing. The model can process numerous vehicle's photos at once with subsequent integration of the results.

Damage Understanding

  • AI-generated car part damage level and cost estimation. As soon as the required part is defined, our algorithms estimate the extent and cost of the damage.
  • Repair/Replace decision support. With the experience gained from service stations that dealt with multiple insurance cases and the ability to evaluate the overall damage level efficiently, the algorithms state whether there is a need for car parts repair.
  • Overall car damage estimation. Estimating the damage level of the auto parts detected, our algorithms form a hypothesis about the general state of a vehicle.

How you can utilize your data with predictive analytics

Apply ML algorithms to generate useful insights and create prediction models based on customer behavior.

Stage 1. Aggregating raw data

  • Data engineering. We help you to enable gathering, storing, and processing data using Google Cloud, Amazon Web Services, and Microsoft Azure.
  • Data understanding and mining. We audit the existing process of aggregating raw data, identify bottlenecks, and deliver improvements.
  • The Internet of Everything and data at scale. Employing the IoT and big data, we ensure informed decision-making.

Stage 2. Predictive modelling

  • Business understanding. We tweak the way you process data to your business needs.
  • Customer behavioral analysis. We analyze data to detect user behavioural patterns, which can significantly enhance key business metrics.
  • Segmentation. Using machine learning, we identify user segments with different behavioural patterns to work out a customer-oriented business strategy.
  • Predictive models. We also employ machine learning to build and train data models capable of predicting user behavior across key business metrics.

Stage 3. Deployment

  • Business models. By dividing users into segments and predicting user behavior, we build intuitive data models customized to your business needs and target audience.
  • Dashboards. Data modelling results can be visualized as probability tables or dashboards to facilitate your interaction with target audience.
  • Recommendation systems. We develop solutions that deliver personalized recommendations based on user behavior in real time.

What is covered?

  • Cloud Foundry components and service brokers
  • BOSH and BOSH releases
  • CI/CD pipelines
  • CF apps running in production
  • Customer-specific deployments and network topologies

Press and Media Kit

Logo in color for light background

Black logo for light background

Logo in color for dark background

White logo for dark background

Color Formats

CMYK: 40 95 90 0

RGB: 153 13 25

WEB: #990D19

Pantone: 506 C, Black C

RPA Benefits

Rapid ROI
Enhanced processes
Insights and analytics
Non-invasive technology
Better customer experience
Eliminate repetitive work
Increased compliance
Enhanced ability to manage

What Process to Automate with an RPA robot

Manual and repetitive processes

The RPA technology helps to automate manual processes, which involve a repetitive sequence of actions. These routine tasks, when executed manually, are highly prone to a human error. Relying on reconciled algorithms, a robot excludes the chances for an error to occur out of neglect

The RPA technology helps to automate manual processes, which involve a repetitive sequence of actions. These routine tasks, when executed manually, are highly prone to a human error. Relying on reconciled algorithms, a robot excludes the chances for an error to occur out of neglect

Rule-based processes

With RPA, you can efficiently boost aggregation of standardized, template-driven activities, which don’t require human approval or decision making

With RPA, you can efficiently boost aggregation of standardized, template-driven activities, which don’t require human approval or decision making

Electronic-based, standardized processes

Activities that involve the usage of various electronic-based solutions—for example, Microsoft Excel or Gmail—or common document formats like PDF can be processed in a faster manner by a robot

Activities that involve the usage of various electronic-based solutions—for example, Microsoft Excel or Gmail—or common document formats like PDF can be processed in a faster manner by a robot

High-load processes

The RPA-based solution is extremely helpful in speeding up workflows bogged down by high transaction volumes and/or frequency

The RPA-based solution is extremely helpful in speeding up workflows bogged down by high transaction volumes and/or frequency

Manual and repetitive processes

The RPA technology helps to automate manual processes, which involve a repetitive sequence of actions. These routine tasks, when executed manually, are highly prone to a human error. Relying on reconciled algorithms, a robot excludes the chances for an error to occur out of neglect

The RPA technology helps to automate manual processes, which involve a repetitive sequence of actions. These routine tasks, when executed manually, are highly prone to a human error. Relying on reconciled algorithms, a robot excludes the chances for an error to occur out of neglect

Rule-based processes

With RPA, you can efficiently boost aggregation of standardized, template-driven activities, which don’t require human approval or decision making

With RPA, you can efficiently boost aggregation of standardized, template-driven activities, which don’t require human approval or decision making

Electronic-based, standardized processes

Activities that involve the usage of various electronic-based solutions—for example, Microsoft Excel or Gmail—or common document formats like PDF can be processed in a faster manner by a robot

Activities that involve the usage of various electronic-based solutions—for example, Microsoft Excel or Gmail—or common document formats like PDF can be processed in a faster manner by a robot

High-load processes

The RPA-based solution is extremely helpful in speeding up workflows bogged down by high transaction volumes and/or frequency

The RPA-based solution is extremely helpful in speeding up workflows bogged down by high transaction volumes and/or frequency

Power your business with the capabilities of artificial intelligence

From problem facing to MVP

What We Offer

We are ready to help you no matter what stage you are at.

Consultancy and research

Our expert adviser will help to develop a strategy, select a vendor, as well as deploy and maintain an RPA solution. We assist you in creating a vision for the future and a roadmap to get there.

Development

We'll design a simple and modular software bot with stable and secure execution. See cost reduction, quality improvement, and faster response times in action!

Testing

RPA work is not done once systems have been deployed. Companies need to test these automation tools on a regular basis to find and address any weaknesses.

Roll-out

We'll develop a cross-functional center of excellence. Shift routine to ‘virtual workforce’ and free resources to focus entirely on business-critical processes.

Support

The technology will likely evolve to include self-building robots, verbal interactions due to advanced learning capabilities. We'll help to prepare for future advances and challenges.

Location
809 11th Avenue,Sunnyvale, CA 94089
Dates
December 19-20
Room
Halios Geron
Time
9 AM - 6 PM

Consultancy and Proof of Concept

Altoros aids its customers in researching and evaluating available AI tooling to implement the best fit and address the pain points. Validate the feasibility of your idea through a proof of concept tailored to the specifics of your case.
1
Business needs
Consult with Altoros experts to design business use cases and dive deep into the world of Artificial intelligence.
3
Solution candidates
We compile a list of approved AI models that satisfy both the engineering and business goals of our customer.
2
Elaborated options
Leverage the available data to evaluate the existing cognitive APIs and custom state-of-art AI solutions.
4
Next steps
Now that we have a set of models, we take a closer look at them to determine which are accurate and effective enough to be included in the PoC scope.
1
Business needs
Consult with Altoros experts to design business use cases and dive deep into the world of Artificial intelligence.
3
Solution candidates
We compile a list of approved AI models that satisfy both the engineering and business goals of our customer.
2
Elaborated options
Leverage the available data to evaluate the existing cognitive APIs and custom state-of-art AI solutions.
4
Next steps
Now that we have a set of models, we take a closer look at them to determine which are accurate and effective enough to be included in the PoC scope.
1
Business needs
Consult with Altoros experts to design business use cases and dive deep into the world of Artificial intelligence.
2
Elaborated options
Leverage the available data to evaluate the existing cognitive APIs and custom state-of-art AI solutions.
3
Solution candidates
We compile a list of approved AI models that satisfy both the engineering and business goals of our customer.
4
Next steps
Now that we have a set of models, we take a closer look at them to determine which are accurate and effective enough to be included in the PoC scope.

Artificial Intelligence End-to-End Solution

Fast-track the launch of your idea through an MVP right into production.
1
Problem facing
Collaborate with Altoros experts to clarify business objectives, assess situation, and determine possible solution options.
3
Artificial intelligence model
We will create a custom AI model capable of achieving the target from both engineering and business perspectives.
5
Elaborated options
We can deploy the final solution either in the cloud or on premises, integrate it within the existing systems and processes, and ensure that the product quality improves over time based on new incoming data.
2
Solution bootstrap
We will take a close look at data available for collecting and mining, evaluating the capabilities of existing cognitive APIs against creating a custom AI solution.
4
MVP
We will assist you in producing a Minimum Viable Product able to solve the desired business need, as well as collect and analyze user feedback.
1
Problem facing
Collaborate with Altoros experts to clarify business objectives, assess situation, and determine possible solution options.
3
Artificial intelligence model
We will create a custom AI model capable of achieving the target from both engineering and business perspectives.
5
Elaborated options
We can deploy the final solution either in the cloud or on premises, integrate it within the existing systems and processes, and ensure that the product quality improves over time based on new incoming data.
2
Solution bootstrap
We will take a close look at data available for collecting and mining, evaluating the capabilities of existing cognitive APIs against creating a custom AI solution.
4
MVP
We will assist you in producing a Minimum Viable Product able to solve the desired business need, as well as collect and analyze user feedback.
1
Problem facing
Collaborate with Altoros experts to clarify business objectives, assess situation, and determine possible solution options.
2
Solution bootstrap
We will take a close look at data available for collecting and mining, evaluating the capabilities of existing cognitive APIs against creating a custom AI solution.
3
Artificial intelligence model
We will create a custom AI model capable of achieving the target from both engineering and business perspectives.
4
MVP
We will assist you in producing a Minimum Viable Product able to solve the desired business need, as well as collect and analyze user feedback.
5
Elaborated options
We can deploy the final solution either in the cloud or on premises, integrate it within the existing systems and processes, and ensure that the product quality improves over time based on new incoming data.

The core stages of blockchain-based development and implementation

Deploying to a production environment
  • We provide recommendations on choosing the optimal infrastructure according to your technical requirements and budget.
  • We elaborate on a transition plan.
  • We perform the transition into a real production environment.
  • We teach your team (by your request) how to operate the network.
Network monitoring and fine-tuning
  • We use Caliper, Prometheus, and Grafana.
  • We provide integration with specific monitoring services of cloud providers (AWS, Azure, Google, Oracle, IBM, and Alibaba).
  • We do performance fine-tuning.
  • We ensure autoscaling, high availability, and disaster recovery.
Network migration
  • Hyperledger Fabric version upgrade.
  • Moving individual node(s) to a different infrastructure.
  • Moving a whole network from one cloud provider to another.
  • Migrating the chaincode from one programming language to another (Go, Node.js, Java, C++).
Day 2 support
  • Onboarding organizations into a running network.
  • Adjusting a running network configuration (channels, chaincode updates).
  • Integration with internal and external systems.
  • Consultation on technical issues.
Deployment routines automation
  • We automate delivery routines for various networks complexity: multiorg, multichannel, Kafka, CouchDB/LevelDB, etc.
  • We deliver a CI/CD pipeline for the chaincode and network.
  • We are experienced with Windows, Linux, and Unix.
  • We use such cutting-edge tools as Kubernetes, Ansible, Terraform, and Docker Compose.
Deploying to a production environment
  • We provide recommendations on choosing the optimal infrastructure according to your technical requirements and budget.
  • We elaborate on a transition plan.
  • We perform the transition into a real production environment.
  • We teach your team (by your request) how to operate the network.
Network monitoring and fine-tuning
  • We use Caliper, Prometheus, and Grafana.
  • We provide integration with specific monitoring services of cloud providers (AWS, Azure, Google, Oracle, IBM, and Alibaba).
  • We do performance fine-tuning.
  • We ensure autoscaling, high availability, and disaster recovery.
Network migration
  • Hyperledger Fabric version upgrade.
  • Moving individual node(s) to a different infrastructure.
  • Moving a whole network from one cloud provider to another.
  • Migrating the chaincode from one programming language to another (Go, Node.js, Java, C++).
Day 2 support
  • Onboarding organizations into a running network.
  • Adjusting a running network configuration (channels, chaincode updates).
  • Integration with internal and external systems.
  • Consultation on technical issues.
Deployment routines automation
  • We automate delivery routines for various networks complexity: multiorg, multichannel, Kafka, CouchDB/LevelDB, etc.
  • We deliver a CI/CD pipeline for the chaincode and network.
  • We are experienced with Windows, Linux, and Unix.
  • We use such cutting-edge tools as Kubernetes, Ansible, Terraform, and Docker Compose.
Deploying to a production environment
  • We provide recommendations on choosing the optimal infrastructure according to your technical requirements and budget.
  • We elaborate on a transition plan.
  • We perform the transition into a real production environment.
  • We teach your team (by your request) how to operate the network.
Day 2 support
  • Onboarding organizations into a running network.
  • Adjusting a running network configuration (channels, chaincode updates).
  • Integration with internal and external systems.
  • Consultation on technical issues.
Network monitoring and fine-tuning
  • We use Caliper, Prometheus, and Grafana.
  • We provide integration with specific monitoring services of cloud providers (AWS, Azure, Google, Oracle, IBM, and Alibaba).
  • We do performance fine-tuning.
  • We ensure autoscaling, high availability, and disaster recovery.
Deployment routines automation
  • We automate delivery routines for various networks complexity: multiorg, multichannel, Kafka, CouchDB/LevelDB, etc.
  • We deliver a CI/CD pipeline for the chaincode and network.
  • We are experienced with Windows, Linux, and Unix.
  • We use such cutting-edge tools as Kubernetes, Ansible, Terraform, and Docker Compose.
Network migration
  • Hyperledger Fabric version upgrade.
  • Moving individual node(s) to a different infrastructure.
  • Moving a whole network from one cloud provider to another.
  • Migrating the chaincode from one programming language to another (Go, Node.js, Java, C++).

Delivery process

Consulting session
40 hours
Aimed at conducting feasibility study of Hyperledger frameworks for your use-case and shaping an integral solution for the PoC
Product development
6-8 weeks
Blockchain architecture design, Network deployment, Developing the Chaincode(s) and the UI
Product testing
1-2 weeks
User Acceptance Testing (UAT) on the Customer’s side; project finalization and acceptance
Discovery
1-2 weeks
Defining the project scope, deliverables and software requirements specification
Quality check
1-2 weeks
Execute testing and QA checks
10 - 12 weeks
Consulting session
40 hours
Aimed at conducting feasibility study of Hyperledger frameworks for your use-case and shaping an integral solution for the PoC
Product development
6-8 weeks
Blockchain architecture design, Network deployment, Developing the Chaincode(s) and the UI
Product testing
1-2 weeks
User Acceptance Testing (UAT) on the Customer’s side; project finalization and acceptance
Discovery
1-2 weeks
Defining the project scope, deliverables and software requirements specification
Quality check
1-2 weeks
Execute testing and QA checks
Consulting session
40 hours
Aimed at conducting feasibility study of Hyperledger frameworks for your use-case and shaping an integral solution for the PoC
Discovery
1-2 weeks
Defining the project scope, deliverables and software requirements specification
Product development
6-8 weeks
Blockchain architecture design, Network deployment, Developing the Chaincode(s) and the UI
Quality check
1-2 weeks
Execute testing and QA checks
Product testing
1-2 weeks
User Acceptance Testing (UAT) on the Customer’s side; project finalization and acceptance

Fast and agile turn-key production pilot delivery scenario

See your ideas implemented into real life and bringing revenue with properly selected and applied frameworks and technologies.
Kick-off
1-2 days
Define cooperation process, knowledge transfer procedure: team member's responsibilities; future onboarding roadmap and timelines.
Production Pilot Implementation
8 weeks
Blockchain architecture design; Network deployment; developing the Chaincode(s) and UI; integration with external systems.
User Acceptance Testing
1-2 weeks
Product testing on the customer side; product finalization and acceptance procedure.
Discovery
1-2 weeks
Define the project scope, deliverables and software requirements specification.
Quality Check
1-2 weeks
Quality checks sessions.
Ongoing Support or Knowledge Transfer
1-2 weeks
The estimation is preliminary and related to phase 2 (main phase) of development.
12 - 14 weeks
Kick-off
1-2 days
Define cooperation process, knowledge transfer procedure: team member's responsibilities; future onboarding roadmap and timelines.
Production Pilot Implementation
8 weeks
Blockchain architecture design; Network deployment; developing the Chaincode(s) and UI; integration with external systems.
User Acceptance Testing
1-2 weeks
Product testing on the customer side; product finalization and acceptance procedure.
Discovery
1-2 weeks
Define the project scope, deliverables and software requirements specification.
Quality Check
1-2 weeks
Quality checks sessions.
Ongoing Support or Knowledge Transfer
1-2 weeks
The estimation is preliminary and related to phase 2 (main phase) of development.
Kick-off
1-2 days
Define cooperation process, knowledge transfer procedure: team member's responsibilities; future onboarding roadmap and timelines.
Discovery
1-2 weeks
Define the project scope, deliverables and software requirements specification.
Production Pilot Implementation
8 weeks
Blockchain architecture design; Network deployment; developing the Chaincode(s) and UI; integration with external systems.
Quality Check
1-2 weeks
Quality checks sessions.
User Acceptance Testing
1-2 weeks
Product testing on the customer side; product finalization and acceptance procedure.
Ongoing Support or Knowledge Transfer
1-2 weeks
The estimation is preliminary and related to phase 2 (main phase) of development.

Hyperledger blockchain frameworks and tools

Frameworks

Tools

How can blockchain technology be applied within your industry?

Knowledgeable about enterprise-grade blockchain frameworks that allow for addressing a variety of industry-specific needs, we help organizations to enhance the existing workflows, achieve transparency, mitigate fraud, and improve customer experience.
Telecommunications
  • Subscriber identification
  • Prevention of fraudulent traffic
  • Claims reduction
  • Elimination of clearing houses
  • Improved efficiency across content service providers, suppliers, and distributors
Coming soon
Finance
  • Proof of identity
  • Reduced counterparty risks
  • Over-the-counter trading
  • Delivery-versus-payment settlement
  • Financial disputes resolution
Live demo
Energy
  • Smart grids management
  • Efficient management of virtual power plants
  • Direct peer-to-peer trading
  • Transaction / maintenance cost reduction
Coming soon
Supply chain management
  • Fraud mitigation
  • Inventory management
  • Courier costs optimization
  • Automation of manual processes
  • Faster bottleneck detection
Live demo
Manufacturing
  • Dealer network management
  • Trade-in and secondary market
  • Warranty support and customers complaints management
  • Increased visibility in service parts management
  • Efficient tracing of faulty parts
Coming soon
Insurance
  • Adoption of new disruptive business models
  • Fronting and captive insurance
  • Risks tokenization
  • New distribution and payment models
  • Optimized (re)insurance cycle
Live demo
Telecommunications
Telecommunications
  • Subscriber identification
  • Prevention of fraudulent traffic
  • Claims reduction
  • Elimination of clearing houses
  • Improved efficiency across content service providers, suppliers, and distributors
Coming soon
Finance
Finance
  • Proof of identity
  • Reduced counterparty risks
  • Over-the-counter trading
  • Delivery-versus-payment settlement
  • Financial disputes resolution
Live demo
Energy
Energy
  • Smart grids management
  • Efficient management of virtual power plants
  • Direct peer-to-peer trading
  • Transaction / maintenance cost reduction
Coming soon
Supply chain management
Supply chain management
  • Fraud mitigation
  • Inventory management
  • Courier costs optimization
  • Automation of manual processes
  • Faster bottleneck detection
Live demo
Manufacturing
Manufacturing
  • Dealer network management
  • Trade-in and secondary market
  • Warranty support and customers complaints management
  • Increased visibility in service parts management
  • Efficient tracing of faulty parts
Coming soon
Insurance
Insurance
  • Adoption of new disruptive business models
  • Fronting and captive insurance
  • Risks tokenization
  • New distribution and payment models
  • Optimized (re)insurance cycle
Live demo

Machine learning publications

Performance of Deep Learning Frameworks: Caffe, Deeplearning, TensorFlow, Theano and TorchzoomZoom paper
Download PDF
AI Cheat SheetzoomZoom paper
Download PDF
TensorFlow Cheat SheetzoomZoom paper
Download PDF
Performance of Distributed TensorFlow: A Multi-Node and Multi-GPU ConfigurationzoomZoom paper
Download PDF

Explore real blockchain cases

How blockchain addresses pain points of the insuranceZoom paperZoom paperDownload white paperDownload white paper
Case study: Automating Bond IssuingZoom case studyZoom case studyRead moreRead more
Improving Privacy on a BlockchainZoom paperZoom paperDownload white paperDownload white paper

Meet the Altoros Services

Altoros combines rare-to-find subject-matter expertise and tech talent with a decade-long experience in helping businesses fast track to a software-driven future. Want to build your sustainable competitive advantage on the cloud, blockchain, or AI technology? Bring us in.

Cloud Foundry

Altoros has emerged as one of the largest teams of Cloud Foundry architects and engineers in the market proficient in the open-source Cloud Foundry technology and its commercial distributions. With Altoros, you get:

Application replatforming

Evaluation and planning

Cloud Foundry enablement

Pivotal cloud foundry tile development

Cloud foundry support

Cloud Foundry

Altoros has emerged as one of the largest teams of Cloud Foundry architects and engineers in the market proficient in the open-source Cloud Foundry technology and its commercial distributions. With Altoros, you get:

  • “All-covered” platform implementation services from evaluation and planning through platform deployment and third-party services integration to Day 2 operations and support.
  • Assistance in migrating the associated workloads to cloud-native environments: application replatforming, CI/CD setup, and training your people in key technologies.
  • A reliable partner with a well-established practice around cloud-native technologies and a significant commitment to the Cloud Foundry ecosystem.
  • An Advanced Partner for Pivotal driving awareness, growth, and adoption of services and solutions based on Pivotal Cloud Foundry.
  • Learn more

Blockchain

Being a general member of the Hyperledger project, Altoros has naturally established a department specializing in the blockchain technology. We are uncovering the decentralized paradigm and value for the customers seeking to improve security, consolidate multiple systems and data flows, as well as streamline business processes.

Chaincode development

Smart process automation

Deployment automation

Technology Adoption

Network design

Blockchain

Being a general member of the Hyperledger project, Altoros has naturally established a department specializing in the blockchain technology. We are uncovering the decentralized paradigm and value for the customers seeking to improve security, consolidate multiple systems and data flows, as well as streamline business processes.

  • An expert team at Altoros will guide a customer through platform evaluation helping to choose an optimal solution to address business needs, design, and develop the distributed ledger technology.
  • Altoros has 2+ years of experience in delivering business value with the distributed ledger technology.
  • We are contributing to open source, including the Hyperledger Project.
  • We've delivered various PoC, MVP and production grade blockchain solutions.
  • We helped 17 companies with DLT adoption and delivering competitive advantage by utilizing benefits of permissioned blockchain technology.
  • We trained 500+ people over the world, both business and technical teams, sharing best practices on blockchain usage.
  • Learn more

Artificial Intelligence

As artificial intelligence is marching its way into every domain of business and life, Altoros helps companies to bring the power of AI to take over mundane tasks or solve complex data-intensive problems.

Tech benchmarking and research

prototyping

Consultancy

training

Minimum viable product

Proof of concept

Artificial Intelligence

As artificial intelligence is marching its way into every domain of business and life, Altoros helps companies to bring the power of AI to take over mundane tasks or solve complex data-intensive problems.

AI practice at Altoros

  • Altoros has experience in implementing AI solutions for various industries from retail and financial services to manufacturing and energy sectors.
  • We actively collaborate with the Ministry of Health, providing training in AI for the healthcare personnel and developing deep learning models for medical data analysis.
  • Altoros is the organizer of a number of training, conferences, and competitions. We actively participate in AI conferences and fairs both at the national and international levels.
  • We carry out R&D activities using, exploring and advancing the state-of-the-art methods in the field.
  • Altoros is an early adopter of TensorFlow and the author behind a number of independent benchmarks in the machine learning field comparing the TensorFlow library against alternative solutions.
  • TensorFlow-as-a-Service is a solution developed by Altoros that enables data scientists to easily install a ready-to-go cloud environment for using TensorFlow, run scripts, and visualize task execution results.
  • Learn more

How Can This Be Applied to Your Industry?

Applying best practices of artificial intelligence, we can help organizations of different size and industries to automate and optimize existing processes, enable predictive analytics / maintenance, and improve customer experience.
Manufacturing
Manufacturing
  • Predictive maintenance
  • Warranty reserve estimation
  • Demand forecasting
  • Process optimization
Travel and Hospitality
Travel and Hospitality
  • Aircraft scheduling
  • Dynamic pricing
  • Consumer feedback and interaction analysis
  • Traffic patterns and congestion management
Retail
Retail
  • Predictive inventory planning
  • Recommendation systems
  • Market segmentation and targeting
  • Upsell and cross-channel marketing
Financial Services
Financial Services
  • Risk analysis and regulation
  • Customer segmentation
  • Credit worthiness evalution
  • Fraud detection
Healthcare and Life Sciences
Healthcare and Life Sciences
  • Alerts and diagnostics from real-time patient data
  • Disease identification and risk stratification
  • Proactive health management
Energy, Feedstock and Utilities
Energy, Feedstock and Utilities
  • Power usage analytics
  • Customer-specific pricing
  • Energy demand and supply optimization

What we offer

You put maximum effort into developing your product's business logic—we plan the rollout process, set up environment, and deploy your solution into production. As a result, you spend your time and money on business development, and our team does the rest.

Our expertise in RPA

Extracting data from PDF-based, scanned,
and semi- or unstructured documents
Extracting data from PDF-based, scanned,
and semi- or unstructured documents
  • Screen scraping, OCR, and basic pattern recognition technologies enable data extraction from almost any format, reducing the need for keying in data.
Periodic report preparation and dissemination
Periodic report preparation and dissemination
  • RPA solutions can easily autogenerate regular reports for management, analyze their contents, and e-mail them to relevant stakeholders. This allows for excluding effort- and time-intensive tasks from a workflow pipeline.
Creating and delivering invoices
Creating and delivering invoices
  • This is a case of data replication. Same sales data needs to exist in both CRM and accounting systems. Instead of manual data replication, bots can update accounting records, prepare, and deliver invoices from the right e-mail accounts.
Bank statement
reconciliation
Bank statement
reconciliation
  • RPA can help to automate the process of extracting data from bank statements for reconciling records to exclude manual data gathering and comparison against other records via complex spreadsheets.
Daily P&L preparation
Daily P&L preparation
  • Automated daily P&L preparation for financial institutions, especially those in the trading business, to track P&L and risk exposures. RPA has can help to reduce handling time from 60 to 20 minutes and improve accuracy of reports.
Payroll automation
Payroll automation
  • Rely on bots in terms of repetitive processing of payroll taking into myriad regulations and company rules to increase automation in the payroll management process.
  • On average, RPA can help to optimize payroll processing by 85%, while fully excluding risks of manual error.
Expense
management
Expense
management
  • An RPA solution infused with optical character recognition can extract automatically extract such data as an expense amount, a date, or a location from receipts, enabling to save time and the associated expenses. A user needs to take a photo of a receipt to extract the relevant data, and a bot will fill out the necessary fields in the expense form.
Bank loan
processing
Bank loan
processing
  • RPA can bring automation to loan processing by embedding complex business logic in bots.
Insurance claims
processing
Insurance claims
processing
  • By processing unstructured data retrieved from a bank form, bots deliver the structured result and aggregate claims based on predefined rules.
  • RPA bots can deal with such issues as losses, customer dissatisfaction, and lack of transparency in claims processing.
Marketing campaigns automation
Marketing campaigns automation
  • RPA bot can interact with marketing tools and platforms interfaces (like Google Ads) and perform actions as per rules predefined (for example, launch a campaign in seconds taking all the information from a spreadsheet).
Extracting data from PDF-based, scanned,
and semi- or unstructured documents
Extracting data from PDF-based, scanned,
and semi- or unstructured documents
  • Screen scraping, OCR, and basic pattern recognition technologies enable data extraction from almost any format, reducing the need for keying in data.
Periodic report preparation and dissemination
Periodic report preparation and dissemination
  • RPA solutions can easily autogenerate regular reports for management, analyze their contents, and e-mail them to relevant stakeholders. This allows for excluding effort- and time-intensive tasks from a workflow pipeline.
Creating and delivering invoices
Creating and delivering invoices
  • This is a case of data replication. Same sales data needs to exist in both CRM and accounting systems. Instead of manual data replication, bots can update accounting records, prepare, and deliver invoices from the right e-mail accounts.
Bank statement
reconciliation
Bank statement
reconciliation
  • RPA can help to automate the process of extracting data from bank statements for reconciling records to exclude manual data gathering and comparison against other records via complex spreadsheets.
Daily P&L preparation
Daily P&L preparation
  • Automated daily P&L preparation for financial institutions, especially those in the trading business, to track P&L and risk exposures. RPA has can help to reduce handling time from 60 to 20 minutes and improve accuracy of reports.
Payroll automation
Payroll automation
  • Rely on bots in terms of repetitive processing of payroll taking into myriad regulations and company rules to increase automation in the payroll management process.
  • On average, RPA can help to optimize payroll processing by 85%, while fully excluding risks of manual error.
Expense
management
Expense
management
  • An RPA solution infused with optical character recognition can extract automatically extract such data as an expense amount, a date, or a location from receipts, enabling to save time and the associated expenses. A user needs to take a photo of a receipt to extract the relevant data, and a bot will fill out the necessary fields in the expense form.
Bank loan
processing
Bank loan
processing
  • RPA can bring automation to loan processing by embedding complex business logic in bots.
Insurance claims
processing
Insurance claims
processing
  • By processing unstructured data retrieved from a bank form, bots deliver the structured result and aggregate claims based on predefined rules.
  • RPA bots can deal with such issues as losses, customer dissatisfaction, and lack of transparency in claims processing.
Marketing campaigns automation
Marketing campaigns automation
  • RPA bot can interact with marketing tools and platforms interfaces (like Google Ads) and perform actions as per rules predefined (for example, launch a campaign in seconds taking all the information from a spreadsheet).

What We Do

We aid our customers in researching and evaluating available
AI tooling to implement the best fit and address the pain points.

Consultancy
Consultancy
  • After discovering your product, we will determine how it could be improved and enriched with artificial intelligence facilities: what obvious and unexpected features could be added, how many resources it requires, and how to maintain its performance.
Proof of Concept
Proof of Concept
  • Validating your business ideas, we will assist you in developing a competitive, innovative solution delivered to end users.
  • After an early feedback, we will help you analyze it and define the next steps.
End-to-End Solution
End-to-End Solution
  • Taking a close look at the data available for collecting and mining, we will create a full-featured product to solve the desired user's need.
  • The final solution will be improved over time based on new incoming data.
Consultancy
Consultancy
  • After discovering your product, we will determine how it could be improved and enriched with artificial intelligence facilities: what obvious and unexpected features could be added, how many resources it requires, and how to maintain its performance.
Proof of Concept
Proof of Concept
  • Validating your business ideas, we will assist you in developing a competitive, innovative solution delivered to end users.
  • After an early feedback, we will help you analyze it and define the next steps.
End-to-End Solution
End-to-End Solution
  • Taking a close look at the data available for collecting and mining, we will create a full-featured product to solve the desired user's need.
  • The final solution will be improved over time based on new incoming data.

Continuous Delivery Benefits

Improved Product Quality
Improved Product Quality
  • The pipeline breaks down the software delivery process into stages, each aimed at verifying the quality of new features from a different angle and eliminating unfit release candidates as early in the process as possible.
Higher Developer Productivity
Higher Developer Productivity
  • A good continuous development workflow makes developers more productive by providing constant feedback on the root cause of failure during the build, deploy, and test cycle.
Reduced Deployment Risk
Reduced Deployment Risk
  • The ability to revert to an earlier version as well as move forward is crucial when you realize that a critical bug has crept in. Just get back to an earlier version while you fix the new release offline.
Faster Delivery of Updates
Faster Delivery of Updates
  • A constant flow of changes into production via an automated software production line helps businesses ship functionality to customers literally at a startup pace.
Improved Product Quality
Improved Product Quality
  • The pipeline breaks down the software delivery process into stages, each aimed at verifying the quality of new features from a different angle and eliminating unfit release candidates as early in the process as possible.
Higher Developer Productivity
Higher Developer Productivity
  • A good continuous development workflow makes developers more productive by providing constant feedback on the root cause of failure during the build, deploy, and test cycle.
Reduced Deployment Risk
Reduced Deployment Risk
  • The ability to revert to an earlier version as well as move forward is crucial when you realize that a critical bug has crept in. Just get back to an earlier version while you fix the new release offline.
Faster Delivery of Updates
Faster Delivery of Updates
  • A constant flow of changes into production via an automated software production line helps businesses ship functionality to customers literally at a startup pace.

Industries we serve

Altoros experienced engineers helps major industries to overcome the most troublesome issues they may face.

Insurance
Insurance
  • Lack of innovation
  • Exposure to security attacks
  • Infrastructure aging
  • Deficient market opportunities
  • Talent shortage
Software
Software
  • Unsustainability to high loads
  • Poor performance
  • Long iteration cycles
  • Outdated technology stack
Government sector
Government sector
  • Exposure security and privacy risks
  • Heavy expenses for innovation
  • Lack of IT qualified human resources
  • Hindered customization
  • Highly regulated sector standards
Insurance
Insurance
  • Lack of innovation
  • Exposure to security attacks
  • Infrastructure aging
  • Deficient market opportunities
  • Talent shortage
Software
Software
  • Unsustainability to high loads
  • Poor performance
  • Long iteration cycles
  • Outdated technology stack
Government sector
Government sector
  • Exposure security and privacy risks
  • Heavy expenses for innovation
  • Lack of IT qualified human resources
  • Hindered customization
  • Highly regulated sector standards

Services

Altoros has emerged as one of the largest teams of Cloud Foundry specialists in the market proficient in the open source Cloud Foundry technology and its commercial distributions like Pivotal Cloud Foundry or HPE Helion Stackato. We help companies reach their digital transformation goals through enablement, hardening, and operation of Cloud Foundry installations, including implementations for PaaS providers and organizations from highly-regulated industries.
Proof-of-Concept Deployment
Proof-of-Concept Deployment

Start small and evaluate how the platform can revamp your software delivery process—all without making sizable commitments. A working prototype developed by Altoros is key to securing a budget for a cloud-native platform initiative by demonstrating how one or several of your mission-critical apps can leverage the platform.

Full-Scale Implementation
Full-Scale Implementation

Get a full-scale, production-ready Cloud Foundry installation deployed to the cloud infrastructure of your choice, with all required integrations set up and configured. Altoros will take care of the platform’s deployment repeatability and performance optimization, brokering, and support of the backing services your applications rely on.

Enhancement & Operations
Enhancement & Operations

Setting up a cloud platform and deploying apps is what everyone is talking about, but, in reality, most efforts are spent on maintenance, troubleshooting, platform enhancement, and various day two tasks. Altoros will make sure that your deployment is resilient, stable, and delivers maximum achievable performance with optimal resource utilization.

Who can benefit
from adopting the model

Insurance
Repairs
Rental Fleets

Machine Learning is a rapidly growing field with Deep Learning as its bleeding edge. Using neural networks under the hood, deep learning is successfully applied in various fields from computer vision to text processing.
This course provides a comprehensive overview of commonly used architectures of neural networks and their applications to common tasks, from tabular data processing to image recognition and data generation tasks. In addition, this course is designed to describe core principles of machine learning to support neural network's theory. During hands-on labs, you will learn to build and architect neural networks to solve a variety of tasks.
Hands-on
Hands-on

Each theoretical block is followed by a relevant set of practical labs

Instructor-led
Instructor-led

You'll be guided by an experienced instructor during all training days

On-site
On-site

The training is delivered at your premises and on suitable dates

Benefits of ML-powered
PDF processing

Save time and money
Save time and money

Reduce manual efforts to zero. The process of entering data is no longer expensive and time-consuming.

Avoid manual errors
Avoid manual errors

Don't waste your time on double checking—computers don't make mistakes.

Comply with
organizational standards
Comply with
organizational standards

The solution enables device and format flexibility providing internal standardization and consistency for customers.

Pay-Per-Incident package
Сoverage
24x7x365
Interaction Channel
Email & Phone
Annual Incidents
Unlimited
Response Time
Within 1 Hour (Initial)
No Up Front Costs
Hourly Rate

You are just starting with Cloud Foundry and don’t call for enduring coverage, but want the comfort of knowing that any time you have an issue you can rely on an expert to solve it on a pay-per-incident basis.

Contact us
Professional subscription
Сoverage
Business Hours (Local) or 24x7x365
Interaction Channel
Email, Tickets, Phone
Annual Incidents
Unlimited
Response Time
Within 1 Hour
No Up Front Costs
Package based

You are using Cloud Foundry to accommodate mission-critical production workloads on a regular basis, and your support backing has to be decent, all-inclusive, and consistent.

Contact us

The ticket submission workflow

1
File a support request
Phone / Email / Web
2
Initial processing
Based on the assigned severity level
3
Working with the Customers
To instruct/get the required access rights
4
Escalation
From tier 2 to tier 3(if required)
5
Resolving
Notification sent to the customer

Concourse CI for Cloud Foundry

An active contributor to the Cloud Foundry ecosystem, Altoros helps organizations take advantage of the same continuous delivery tooling that powers Cloud Foundry.
Concourse CI
for the platform delivery
Empower your Cloud Foundry engineers with a reliable mechanism for deploying, updating, and managing platform components and any other BOSH-deployed services to a specific infrastructure.
Concourse CI
for application delivery
Developers only need to push their code to the source control system, all other things like build, test, blue/green deployment are triggered without a developer’s interaction with the command line.

Private Instructor-led
Classroom Training for Business
and Technical Teams

  • This tailored course is designed to accommodate business decision makers and/or software engineering teams.
  • Build your own program by choosing appropriate topics, use cases specific to your industry, theory and practice balance.
  • Attend this course before you make a decision to build a Proof of Concept or a Minimum Viable Product for your corporate blockchain.
On-site
at your office
Tailor-made to fit
your level and needs
Hands-on
Instructor-led

Reducing risks in decision making process

We use the following approach to check the effectiveness
of the campaign and to evaluate the validity of the decisions made.

Tailored Methodology

We offer a tailored methodology that varies according to your business needs and objectives.

A/B Testing

We assess campaigns results using Control and Target Groups, or A/B testing.

Smart Decision Making

We help to reduce risks in the decision making process using real data and statistical analysis.

You don't need a specific-skilled team and expertise to make use
of your data

We are here to take over your challenges hindering you from better use of Data Science and Machine Learning techniques, approaches and models.

Sizeable cost savings through optimization of the software development life cycle

  • Containers and Application Orchestration Tools
    Implementation of modern platforms (Cloud FoundryKubernetes) expediting the software development life cycle.
  • Continuous Delivery
    Enabling continuous delivery of changes from development to production.
Show more

Accelerated Time-to-Market with modern application design and development principles

  • Microservices Architecture
    Addressing the complexity of software systems with microservices-based architecture.
  • Application Replatforming
    Software modernization to achieve maximum architecture-driven benefits.
  • Training
    Rapid team onboarding and training your people in key technologies.
Show more

What we do

Altoros has stacked up expertise in a range of cloud automation and container orchestration technologies to enable organizations at any stage of their journey to cloud-native. We offer:

Analysis

Come prepared for your digital transformation journey. Get a strategic advice, guidance, and technical expertise required to improve the current state of your IT infrastructure.

Learn more

Platform Implementation

Get a PoC or a full-scale, production-ready Cloud Foundry installation deployed to your cloud infrastructure. Altoros will make sure that your deployment is resilient, stable, and delivers maximum achievable performance with optimal resource utilization.

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Implementation of CI/CD Processes

Automate the software delivery processes, using CI/CD pipelines, to improve the product quality, increase developers’ productivity, reduce deployment risks, and accelerate the delivery of updates.

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Application Replatforming

Enable your existing business-critical applications on a cloud-native platform to leverage the containerized runtime environment and production-grade capabilities.

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Training

Accelerate the on-boarding of your team, upgrade their skills in Cloud Foundry management, cloud-native development, platform logging and monitoring, and etc.

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Platform Support

Ensure smooth operation of the platform, applications, and services. Reach 24/7 business continuity, data integrity, and zero disruption upgrade.

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Use cases

Related Training

Training
Type
Multi-Datacenter Deployments with BOSH, Concourse, and Vault
Type:

On-demand Webinar

Microservices Architecture: Best Practices, Tools and Framework
Type:

Training

Monitoring How-To: Collecting Metrics and Logs
Type:

On-demand Webinar

Navigating the Ecosystem of Pivotal Cloud Foundry Tiles
Type:

On-demand Webinar

Who Will Benefit

Consulting companies
Independent consultants
IT services companies
Training providers
Local communities and incubators
Business partners

How to Become a Partner?

1
Submit a quick application form
2
Discuss individual partnership conditions
3
Work in close collaboration with us and enjoy your benefits

Fully managed Kubernetes solutions

Altoros engineers will develop a production-level Kubernetes enablement roadmap to accelerate the adoption of the most advanced container orchestration tool at the moment.
Assessment and strategy planning
Kubernetes enablement
Application containerization and migration
Support
Training

Assessment and strategy planning

Kubernetes enablement

Application containerization and migration

Support

Training

Hands-On Training Course: Neural Networks and Deep Learning

Enhance your data science expertize with representation learning
Core Concepts and Techniques
Theory
  • An introduction to machine learning tasks and definitions
  • Core principles of building machine learning algorithms
  • A diversity of machine learning algorithms: from linear regression to random forest
  • Core Python packages for machine learning
Practice
  • Linear and logistic regressions
  • k-nearest neighbors and k-means
  • Decision trees and random forest
  • Core Python packages for machine learning
Packages of choice are Pandas/NumPy/scikit-learn
Introduction to Deep Learning
We'll look at surprisingly strong machine learning techniques that have recently gained popularity and cover the following topics:
  • The structure of neural and feedforward neural networks
  • A mechanism for learning neural networks
  • The means of managing the neural network learning process
Convolutional Neural Networks
Convolution as the core of the neural network layer for spatial data processing. Topics for the day:
  • Image features and representation learning
  • A convolution layer and a deep convolutional network
  • Supporting layers for convolutional neural networks
  • State-of-the-art architectures for image processing
  • Transfer learning and fine tuning
Recurrent Neural Networks
Neural network architecture for sequential data modelling. Topics for the day:
  • Examples of sequential data and related machine learning tasks
  • The vanilla recurrent neural network architecture and its limitations
  • The architecture of advanced recurrent neural network layers
Autoencoders and Generative Networks
Neural network architectures developed to solve non-standard machine learning tasks. Topics for the day:
  • Autoencoder architecture blueprint
  • Properties of autoencoder representations
  • Generative Adversarial Networks

Monolith-to-Microservices Restructuring

The monolith-to-microservices restructuring is performed as incremental refactoring of legacy applications either through adding new microservices to the existing application or through turning existing modules within the monolith into a standalone microservices-based app.
Application Restructuring

Business-value driven application porting to the cloud-native architecture:

  • Determining the features that need to be turned cloud native in the first place;
  • Extracting logic from the existing application to base a standalone microservice on;
  • Cloud-native application architecture design and microservices coding.
Knowledge Transfer

Step-by-step guidance on the cloud-native application architecture principles, cloud-native development, and DevOps operations will help our clients:

  • Avoid common mistakes and optimize benefits from the cloud-native platform implementation;
  • Address gaps in the platform adoption at all implementation stages;
  • Increase customer satisfaction and boost employee loyalty to the platform.

Learn how we helped our featured customers accelerate their growth and improve ROI

Interested in how to effectively use the Kubernetes CLI to manage your deployment? Download our kubectl cheat sheet!
Download PDF

This program doesn't meet your requirements? Combine your own training program!

Combine

Related Resources

Cloud Foundry

Containers

Microservices

DevOps

Monitoring & Logging

IoT

CI/CD

App Replatforming

Machine Learning

Cloud-Native / PaaS

Show more

Is there anything that stops you
from getting data-driven insights
and provide better customer experience?

Our team of machine learning engineers and data science experts will consult you
and advise on applying DS/ML to solve business problems.

1
Methodology

We can help you with methodologies for using predictive analytics in your business and reducing risks in decision making process using real data and statistical analysis.

2
Strategy

Our goal is to help you understand your data, customer behavior, and propose new strategies that improve value of your business and satisfy your customers.

3
Tailored Solution

We consider the specifics of your business and design our models to present you a solution in a simple, understandable form.

4
Smart Integration

We can help you integrate models to your business and automate the decision making process.

Different locations. Same attitude.

How can we help you?

Sunnyvale, CA
Santa Fe, AR
Buenos Aires, AR
Oslo, NO
Helsinki, FIN
Minsk, BY
Sunnyvale, CA
Santa Fe, AR
Buenos Aires, AR
Oslo, NO
Helsinki, FIN
Minsk, BY
Headquarters
Altoros Norge AS
Altoros Finland OY
Development Center, Argentina
Development Center, Eastern Europe
Headquarters
830 Stewart Dr., Suite 119Sunnyvale, CA 94085
Phone:  +1 650 265-2266Toll-free: 855-ALTOROSFax: 866 201-3646
Altoros Norge AS
Kongens gate 30153 Oslo, Norway
Phone:  +47 21 92 93 00Org. num.: 894 684 992
Altoros Finland OY
Mannerheimintie 113, Aitio Business Park00280 Helsinki, Finland
Mobile:  +358 50 568 0532
Development Center, Argentina
Buenos Aires+ 54 11 4060 2966
Development Center, Eastern Europe
9 Dombrovskaya St., Fl 5Minsk, Belarus 220140

Why ALTOROS

As an early adopter of Cloud Foundry, Artificial Intelligence, and Blockchain, Altoros offers a large scale of services and training across these innovative technologies.

Cloud Foundry
Kubernetes
Blockchain
Artificial Intelligence
Altoros Training
Projects
Community
Heartbeat
Cloud Foundry
Cloud Foundry Professional Services

Altoros integrates software assembly lines into large organizations by  deploying solutions offered by the Cloud Foundry ecosystem. Our customers are among the first to create and monetize application-driven competitive advantages with Cloud Foundry.

Altoros integrates software assembly lines into large organizations by  deploying solutions offered by the Cloud Foundry ecosystem. Our customers are among the first to create and monetize application-driven competitive advantages with Cloud Foundry.

Kubernetes
Kubernetes Enablement

With extensive experience in implementing production-grade container orchestration tools (e.g., Kubernetes and Mesos), Altoros provides companies with enterprise-level frameworks for  container integration and management with a focus on availability, scaling, and networking.

With extensive experience in implementing production-grade container orchestration tools (e.g., Kubernetes and Mesos), Altoros provides companies with enterprise-level frameworks for  container integration and management with a focus on availability, scaling, and networking.

Blockchain
Blockchain-based Solutions and Professional Services

Being a general member of the Hyperledger Project, Altoros helps organizations to  implement production-grade solutions driven by permissioned and public blockchain networks. We are enthusiastic contributors to open-source blockchain initiatives, which inspire new business models across industries. Enabling knowledge transfer, we help our customers to gain competitive advantage.

Being a general member of the Hyperledger Project, Altoros helps organizations to  implement production-grade solutions driven by permissioned and public blockchain networks. We are enthusiastic contributors to open-source blockchain initiatives, which inspire new business models across industries. Enabling knowledge transfer, we help our customers to gain competitive advantage.

Artificial Intelligence
Artificial Intelligence End-to-End Solutions

Al team has experience in providing natural language processing, visual recognition, sentiment analysis, robotic process automation, behavior analytics, recommendation systems, and other machine learning services.

We are actively involved in R&D activities, open source contributors.

Artificial Intelligence Service
Predictive Analytics
Intelligent Automation

Al team has experience in providing natural language processing, visual recognition, sentiment analysis, robotic process automation, behavior analytics, recommendation systems, and other machine learning services.

We are actively involved in R&D activities, open source contributors.

Artificial Intelligence Service
Predictive Analytics
Intelligent Automation

Altoros Training
Transforming Your Enterprise. Strategically

Altoros offers both public classroom courses for individuals and custom onsite training for your in-house teams. You may choose from a great range of  Cloud Foundry training programs for developers and DevOps. To learn how to design microservices applications, you may check out our  microservices training. If you want to learn Kubernetes fundamentals or get a deep dive, we offer  Kubernetes training courses to you. For blockchain enthusiasts, Altoros delivers  Hyperledger training. For all those interested in Artificial Intelligence, Altoros offers comprehensive applied  training courses in Machine learning

Altoros offers both public classroom courses for individuals and custom onsite training for your in-house teams.

Cloud Foundry training programs
Microservices training
Kubernetes training
Hyperledger training
Training courses in Machine learning

Projects
Altoros Contributed to 50+ Open-source Projects

Standing behind some of the world’s largest Cloud Foundry deployments, Altoros has also contributed to 50+ open-source projects, including  Cloud Foundry Cassandra Service Broker,  a boilerplate for Cloud Foundry Service Broker,  a BOSH-scalable ELK release, Juju Charms automation, etc.

Standing behind some of the world’s largest Cloud Foundry deployments, Altoros has also contributed to 50+ open-source projects, including  Cloud Foundry Cassandra Service Broker,  a boilerplate for Cloud Foundry Service Broker,  a BOSH-scalable ELK release, Juju Charms automation, etc.

Community
Altoros is an Active Member of the Cloud Foundry Community

Being a Silver member of the  Cloud Foundry Foundation, our company provides sponsorship for the annual CF summits since 2014. Altoros is also  a strategic partner of Pivotal — a provider of the leading commercial distribution of Cloud Foundry.

Being a Silver member of the  Cloud Foundry Foundation, our company provides sponsorship for the annual CF summits since 2014. Altoros is also  a strategic partner of Pivotal — a provider of the leading commercial distribution of Cloud Foundry.

Heartbeat
Heartbeat Monitoring Solution and PCF Tile Development

Contributing to the ecosystem of the PCF tiles—integrations of third-party services for the Pivotal platform—Altoros has released five tiles: for  Jenkins,  Logsearch,  Cassandra,  Elasticsearch, and  AWS S3.

Contributing to the ecosystem of the PCF tiles—integrations of third-party services for the Pivotal platform—Altoros has released five tiles: for  Jenkins,  Logsearch,  Cassandra,  Elasticsearch, and  AWS S3.

Get started with Altoros

If you have any questions or want to try our product

Implementing best practices of continuous integration and delivery, Altoros will assist you in Cloud Foundry and Kubernetes enablement, microservices-based application development, application replatforming, etc. To get a consultation with a technical expert or a project estimation, please contact us. Want to empower your business with artificial intelligence, machine learning, or blockchain? Our experts will help you to develop a working strategy / solution and implement it!

Intelligent Automation Explained

Frequently asked questions about Intelligent Automation

What is Intelligent Automation (IA)?
See details

Intelligent Automation = Robotic Process Automation + Artificial Intelligence

Intelligent automation is the combination of cognitive automation, artificial intelligence, reasoning, hypothesis generation and analysis, natural language processing and intentional algorithm mutation, producing insights and analytics at or above human capability.

What is Robotic Process Automation (RPA)?
See details

Robotic process automation allows for emulating and integrating human actions to digital systems and automate the execution of business processes. Through a user interface, RPA robots capture data and manipulate workflows in the same fashion as humans do, though more efficiently.

What is a Software Robot (bot)?
See details

With preconfigured business rules under the hood, a bot is capable of executing any process, activity, task, or transaction without human intervention, management, or supervision.

The difference between IA and RPA
See details

Basically, we can treat RPA as a software robot that reproduces human actions, while IA simulates human intelligence by machines.

Why RPA Needs OCR
See details

RPA and OCR are complementary technologies. Оrganizations can improve efficiency, accuracy and reduce cost of OCR-based business processes by using a combination of OCR, RPA and AI technologies.

Automating virtual desktop environments, such as Citrix, VMware, VNC, and Windows Remote Desktop with the help of computer vision algorithms enables human-like recognition of user interfaces and creates the sort of efficiency that turns into competitive advantage.

RPA Providers We Partner With

New Partnership Coming Soon

Altoros’s Team

Altoros Team
Cloud-Native Platform Engineer,BOSH Engineer,Software Engineer

Technology and domain experience equating to dozens of person-years of work: more than 50 Cloud Foundry projects since 2013, contributors to 50+ OSS projects, expertise in distributed systems and NoSQL databases

Cloud Foundry Support Services
  • Tier 2 and 3 support
  • Guaranteed response time
  • Access to 20+ Cloud Foundry and BOSH experts

Teams that scale as you grow:
Altoros’s Cloud Foundry team has the capacity to not just grow as your support needs demand, but perform a range of tasks and services to expand, harden, fine-tune, or upgrade your Cloud Foundry deployment

Customer’s Team
Contact people(have full access to infrastructure and deployments)

Knowledge transfer and mentoring: delivering training to teach the Customer’s team the basics of working with and managing deployed Cloud Foundry instances

Renat Khasanshyn
Founder and CEO

Renat is founder & CEO of Altoros, and Venture Partner at Runa Capital. Renat helps define Altoros’s strategic vision, and its role in Cloud Foundry PaaS ecosystem. In the past, Renat has been selected as finalist for the Emerging Executive of the Year award by the Massachusetts Technology Leadership Council and once won an IBM Business Mashup Challenge. Prior to founding Altoros, Renat was VP of Engineering for Tampa-based insurance company PriMed. Renat is also founder of Apatar, an open source data integration toolset, founder of Silicon Valley NewSQL User Group and co-founder of the Belarusian Java User Group. He studied Engineering at Belarusian National Technical University.

Contact Renat
Andrei Yurkevich
President and CTO

With 10+ years in the software development industry, Andrei serves as President and Chief Technology Officer at Altoros. Under his supervision, the engineering team has grown from zero to more than 250 specialists across seven global locations. Currently, he is responsible for technology alliances in Big Data and PaaS. Andrei has successfully implemented strategies for software product development, marketing, motivation systems, personnel performance management, and team building.

Contact Andrei
Jan-Terje Nordlien
CEO of Altoros Norge AS

Since joining Altoros, Jan-Terje Nordlien has helped the company establish and develop a branch office in Norway, Altoros Norge AS. His 15+ years in the enterprise software industry have helped him successfully define and implement the company’s technical and business strategy for the Nordic market. Prior to joining Altoros, Mr. Nordlien was Head of the Mobile Workforce department at Locus, where he was responsible for building a new mobile platform using cutting-edge technologies and architectures. Earlier in his career, Mr. Nordlien worked as CTO Norway and Product Manager at Consafe Logistics, as Product Specialist at Sybase, and as Senior Consultant at Accenture. Mr. Nordlien holds a degree in Information Technology from Høgskolen i Hedmark.

Contact Jan-Terje
Ari Mutanen
Country Manager Finland

Ari Mutanen is running Altoros business operations in Finland. He has been working in software development industry for 20+ years in different international positions: heading customer services, business development, sales, and marketing. Prior to this, Ari has been working for CGI, TeliaSonera, Comptel, and Cybercom. Ari is helping customers in Finland and Nordic countries to digitize their business processes and revenue streams and explore totally new business areas (e.g., Big Data and IoT), utilizing modern technologies, such as blockchain, machine learning, and Cloud Foundry (PaaS). He aims at bolstering Altoros position in Northern Europe, building viable customer and partner network and making Altoros services and solutions available.

Contact Ari

Design Your Training Agenda

Step 1

Select the checkboxes to include the topics you want us to cover.

1. 
Introduction
see details
  • A few things about Altoros, getting to know each other and instructors, overall information on the schedule and agenda of the course, as well as useful links.
2. 
Blockchain Essentials
see details
  • Introduction to the distributed ledger technology (DLT) and blockchain: Cryptography, Hashing, Encrypted communications, Consensus mechanisms, Blocks, Wallets, Explorer, Smart contracts, Cryptocurrency, and Tokens
  • Public and Permissioned blockchains: Bitcoin vs. Ethereum vs. Hyperledger functional comparison. What kinds of business functions can be implemented for B2C and B2B businesses. Analytics tools available to track productivity of blockchains.
3. 
Hyperledger frameworks overview
see details
  • Sawtooth, Indy, Iroha
4. 
Hyperledger Fabric architecture and transaction flow
see details
  • What is a DLT, a block & a blockchain
  • Hyperledger Fabric components and the transaction flow
  • PKI method of securing communications
  • Fabric CA & MSP
  • Fabric Starter for the HLF deployment in a local mode
  • Crypto material. Anatomy of config files
5. 
Start an own corporate blockchain project. Hyperledger Composer
see details
  • Prototyping the data sets, the process flow and the chaincode logic
  • Example of applying the Composer to prototyping the "Perishable goods supply"
6. 
The Chaincode
see details
  • Chaincode anatomy
  • Basic chaincode patterns
  • Chaincode events
  • Cross-channel chaincode interaction
  • Practice: writing the chaincode in Golang. Supply chain example
  • Debugging the chaincode: best practice
7. 
Application life-cycle management
see details
  • Customize the network
  • Create a new channel
  • Install & instantiate a new chaincode in the channel
  • Modify or upgrade the chaincode
  • Invoke the chaincode from the CLI
  • Configure endorsement policy
8. 
Hyperledger Fabric multi-host deployment: Solo-Orderer & Kafka
see details
  • Application
  • Multi-host deployment with a Solo-Orderer using Fabric-Starter
  • Ansible Fabric Starter for the Solo-Orderer and Kafka
  • Deployment of HLF on Azure (video-instruction)
9. 
Deployment of HLF on Kubernetes
see details
  • Deployment of HLF on Kubernetes
10. 
Use cases & Demo
see details
11. 
Advanced integration patterns
see details
  • External file storage (IPFS)
  • External key generator
  • Hyperledger Caliper tools for the network performance measurement
12. 
Cryptography, Privacy, Security and Trust in blockchain systems: deep dive
see details
  • Definitions and protocols
  • Zero knowledge proof (ZKP)
  • Local installation of Hyperledger Indy
  • Step-by-step deployment guide for building the Indy clients
  • Identity mixer (Idemix) implementation for Hyperledger Fabric
  • Scripts for the Idemix customization at the chaincode level
  • Intel SGX solution integrated with Hyperledger Fabric

Step 2

Fill in the form to complete your submission:

First Name*
Last Name*
Email*
Phone
Your company name*
Your Message (optional)

Design Your Training Agenda

Step 1

Select the checkboxes to include the topics you want to be present in your training agenda. You can save this form at any time and continue later.

1
. Foundations
0h
see details

Set up prerequisites, learn about the Kubernetes architecture, and deploy a Kubernetes instance needed in other exercises

2
. Running Applications
0h
see details

Learn how to run your applications on Kubernetes—both stateless and stateful

3
. Operations
0h
see details

Learn how to operate cloud-native platforms based on Kubernetes—upgrade a cluster to a newer version, integrate with monitoring and logging solutions, and set up a continuous delivery pipeline

4
. Networking
0h
see details

Topics include setting up the ingress to balance external traffic between the pods and exposing the applications to the outer world using services

5
. Security
0h
see details

How to keep the platform secure and guarantee fair share of cluster resources to each of the multiple teams using the cluster

6
. Other Topics
0h
see details

Topics that do not fit this classification, such as diving deep into Kubernetes internals or packaging your applications using Helm

Course duration: 0h
The total duration of the class must be from 2 to 5 days

Step 2

Select cloud infrastructure provider for the training:

Step 3

Select your Deployment method:

Step 4

Fill in the form to complete your submission:

First Name*
Last Name*
Email*
Phone
Your company name*
Your Message (optional)

Design Your Training Agenda

Step 1

Select the checkboxes to include the topics you want us to cover. You can save this form at any time and continue later

1. 
Machine Learning
see details

Theory

  • An introduction to machine learning tasks and definitions
  • Core principles of building machine learning algorithms
  • A diversity of machine learning algorithms: from linear regression to random forest
  • Core Python packages for machine learning

Practice

  • Linear and logistic regressions
  • k-nearest neighbors and k-means
  • Decision trees and random forest
  • Handling classification, regression, and clustering tasks

*Packages of choice are Pandas/NumPy/scikit-learn

Theory

  • LASSO/Ridge (regularization)
  • PCA/SVD (dimensionality reduction)
  • Advanced clustering algorithms, such as DBSCAN, expectation-maximization (different similarity approaches to data)
  • Naive Bayes (The Bayes theorem)
  • Complex ensembling schemes, gradient boosting, stacking (iterative refinement)
  • Algorithmic hyperparameter tuning

Practice

  • LASSO
  • PCA
  • DBSCAN, expectation-maximization, agglomerative clustering, mean shift
  • Naive Bayes
  • Gradient boosting machine, stacking
  • Tree-structured Parzen estimator

*Packages of choice are Pandas/NumPy/scikit-learn/HyperOpt/XGBoost

Theory

  • Feature engineering
  • Dealing with missing data and outliers
  • Dealing with imbalanced classification
  • Advanced validation schemes
  • Handling of model versioning
  • CRISP-DM as a major machine learning development methodology

Practice

  • Feature engineering: polynomial and logarithmic features, combinations of features; periodic feature encoding; target encodings
  • Imbalanced сlassification: advanced metrics for classification, threshold tuning, over- and undersampling (SMOTE)
  • DBSCAN, expectation-maximization, agglomerative clustering, mean shift
  • Missing data handling: imputation of missing values using k-nearest neighbors or decision trees
  • Advanced validation: cross-validation for time series

*Packages of choice are Pandas/NumPy/scikit-learn

2. 
Data Science Applications
see details

Algorithmic text processing is a vast area for neural network application. From text classifications to text understanding, there's a successful applications of machine learning. We'll look at basic NLP techniques and for State-of-the-Art applications of NLP:

  • Bag-of-Words approach to text related tasks
  • Sequential approach using RNN architectures
  • Embeddings as richer and dense representations of words
  • State of the Art: contextual embeddings and attention mechanism

Computer Vision is a huge field with most of successes of deep learning, starting from winning of neural networks win in ImageNet competition in 2012. We'll try to dive a little into some useful applications of it that are constantly present here:

  • Image-specific data transformations
  • Object detection using YOLO/SSD model
  • Image segmentation using U-Net/LinkNet/R-CNN algorithms
  • Architectures for real-time image processing

Transaction data is largely prevalent type of datasets, especially in telecom/banking. Purpose of this module is to show an approach for this data to retrieve useful insights.

  • Data preparation of transactional data
  • Time series specific family of algorithms
  • Statistical and Neural Network approaches for this task

Reinforcement Learning generalizes whole concept of machine learning while allowing to solve some intricate problems. In this module we'll make an explanation of the concept of reinforcement learning and guide you from basic algorithms that support this concept to methods that lay foundation to latest State-of-the-Art results. We'll go through this set of algorithms:

  • Markov Decision Process
  • Multi-Armed Bandit Algorithms
  • Q-learning
  • Policy algorithms
3. 
Deep Learning
see details

We’ll look at a surprisingly strong machine learning techniques that have become really popular recently and will cover the following topics:

  • Structure of neural networks, feedforward neural networks
  • A mechanism for learning neural networks
  • Means of neural network learning process control

Practice

  • Neural networks for supervised learning with Keras

*Packages of choice are Pandas/NumPy/scikit-learn/Keras/TensorFlow

Convolution as the core of the neural network layer for spatial data processing. Topics for the day:

  • Image features and representation learning
  • A convolution layer and a deep convolutional network
  • Supporting layers for convolutional neural networks
  • State-of-the-art architectures for image processing
  • Transfer learning and fine tuning

We will:

  • Build a convolutional neural network from scratch to learn image classification
  • Fine-tune existing networks to perform image-related tasks on a different data sets

*Packages of choice are Pandas/NumPy/scikit-learn/Keras/TensorFlow

Neural network architecture for sequential data modelling. Topics for the day:

  • Examples of sequential data and related machine learning tasks
  • The vanilla recurrent neural network architecture and its limitations
  • The advanced recurrent neural network layers architecture

We will implement:

  • Character - and word-level natural language model
  • Fine-tune existing networks to perform image-related tasks on a different data sets

*Packages of choice are Pandas/NumPy/scikit-learn/Keras/TensorFlow

Neural network architectures that developed to solve non-standard tasks such as representation learning and data generation. Topics are:

  • Autoencoder architecture blueprint
  • Properties of autoencoder representations
  • Generative Adversarial Networks
4. 
Big Data
see details

In this module you'll learn:

  • Basic knowledge and principal of Hadoop (Yarn, HDFS)
  • Main concepts of Spark such as RDD, Shared Variables, Persistency, Spark architecture, Spark under the hood
  • Сore principles of Spark SQL
  • Basic principles of Spark MLIB work

This module covers real-time processing data which is based on such processing engine as

  • Spark Stream processing data in real-time
  • Spark Structured Stream processing engine built on the Spark SQL engine
  • Apache Kafka stream processing platform

Additionally, you will get knowledge about

  • Integration Kafka and Spark Streaming
  • Integration Kafka and Spark Structured Streaming

The following topics will be covered in this module

  • Introduction, Foundation and Operation wit Apache Cassandra
  • Concept of DSE Analytics(Spark + Cassandra) and DSE Solo Analytics
  • Main principles of SparkConnector by DSE

Step 2

Fill in the form to complete your submission:

First Name*
Last Name*
Email*
Phone
Your company name*
Your Message (optional)

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Implementation Roadmap

3-6 weeks
Proof of Concept3-6 weeks
  • Collaborate with Altoros experts to clarify business objectives, assess situation, and select processes
  • A quick proof of concept to validate the applicability of RPA
10-12 weeks
Pilot10-12 weeks
  • Piloting of additional business processes with the parallel roll-out planning
  • Accelerate the organizational RPA learning
Subject to scope
Roll-outSubject to scope
  • Roll-out other relevant business processes and transition to customer
  • Build the RPA сenter of excellence

Thank you for requesting the document “Altoros TensorFlow Cheat Sheet”!

The link for download has been sent to your e-mail address. You can also access the document here.

TensorFlow Cheat Sheet

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Did you know Altoros helps Apply Machine Learning in Business?

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Why Altoros

As an early adopter of Cloud Foundry, blockchain, and TensorFlow — a popular machine learning framework, Altoros offers a large scale of services and training across these innovative technologies.

Training sections

Select your industry

Popular
Cloud Foundry for DevOps
  • 4 days
  • 2800
Popular
Cloud Foundry for Developers
  • 3 days
  • 2300
Logging and Monitoring in Cloud Foundry
  • 1 day
  • 2800
Concourse Training
  • 3 days
  • 2800
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Custom Kubernetes Training
  • Tailor-made to your needs
Popular
Kubernetes Deep Dive
  • 4 days
  • 2700
Kubernetes Fundamentals
  • 2 days
  • 2300
Hot
Custom Blockchain Training
  • Tailor-made to your needs
New
Apps Development on Hyperledger Fabric: Advanced Training for Developers
  • 3 days
  • 2500
Hyperledger Fabric Administrator Training: Configuring and Running a Network
  • 2 days
  • 1500
Private Blockchain Networks Training: Business Applications and Use Cases
  • 1 day
  • 450
Microservices Architecture: Best Practices, Tools and Frameworks (.Net-based)
  • 2 days
  • 2100
Microservices Architecture: Best Practices, Tools and Frameworks (Java-based)
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  • 2100
New
Microservices architecture. Deploying .NET apps to Azure Kubernetes Service
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  • 2100
Hot
Custom Artificial Intelligence Training
  • Tailor-made to your needs
Machine Learning Course
  • 3 days
  • 1800
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Popular
Cloud Foundry for DevOps
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  • 2800
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Cloud Foundry for Developers
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Logging and Monitoring in Cloud Foundry
  • 1 day
  • 2800
Concourse Training
  • 3 days
  • 2800
Maximize your team's talent with customized hands-on training

Why train with Altoros?

Trough expertly led, hands-on training, Altoros helps IT professionals around the globe advance their skills in cloud-native development and PaaS, blockchain and deep learning.

400+
Professionals trained
12
Training programs
23
Cities in 7 countries
23
World-class trainers
10+
Years of experience

Why Enroll

  • Understand how to leverage your data to forecast future events and behaviors to discover deeper business insights
  • Get practical skills required to spin up predictive analytics pipeline
  • Learn how to successfully architect, develop and manage Data Science projects

Course deliverables

  • Creating an asset: the insurance contract (for various industries and associated risks)
  • Trading this asset (P2P rights transfer) within the defined group of insurers: reinsurance deals
  • Automated processing of claims
  • Basic back-office function
  • Reporting forms: premiums collected/paid, amounts receivable/payable etc.

Training program

1
DAY
see fewer details
Main Concepts of Cloud Foundry
  • What is Cloud Foundry?
    Theory
    Practice
  • Why is Cloud Foundry a major player in the PaaS world?
    Theory
  • Cloud Foundry architecture
    Practice
  • Getting help
    Theory
Deploy BOSH
  • BOSH architecture
    Theory
    Practice
  • Installing the BOSH CLI
    Practice
  • Initializing an environment (for BOSH and CF)
    Practice
  • Deploying BOSH
    Theory
Deploy Cloud Foundry
  • Deploying Cloud Foundry using BOSH 2.0
    Theory
  • Running deployment jobs
    Theory
  • Initializing an environment (for BOSH and CF)
    Theory
  • Verifying results using CATs
    Theory
2
DAY
see fewer details
Main Concepts of Cloud Foundry
  • What is Cloud Foundry?
    Theory
    Practice
  • Why is Cloud Foundry a major player in the PaaS world?
    Theory
  • Cloud Foundry architecture
    Practice
  • Getting help
    Theory
Deploy BOSH
  • BOSH architecture
    Theory
    Practice
  • Installing the BOSH CLI
    Practice
  • Initializing an environment (for BOSH and CF)
    Practice
  • Deploying BOSH
    Theory
Deploy Cloud Foundry
  • Deploying Cloud Foundry using BOSH 2.0
    Theory
  • Running deployment jobs
    Theory
  • Initializing an environment (for BOSH and CF)
    Theory
  • Verifying results using CATs
    Theory
Prerequisites
see details

Altoros recommends that all students have:

  • A basic knowledge of Linux (ssh, scp, vim, grep)
  • Basic Docker Experience
  • First-hand experience with an IaaS provider—AWS (EC2, VPC, S3, Route53, RDS)
  • Basic back-office function
  • A workstation with the following capabilities:
    • A SSH/SCP terminal client (like ssh or Putty)
    • A web browser (Chrome/Firefox)
    • Internet connection w/o firewall rules blocking outgoing traffic
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Training program

1
day
see fewer details
Main Concepts of Cloud Foundry
30 m
Deploy BOSH
Main Concepts of Cloud Foundry
30 m
  • BOSH architecture
  • Installing the BOSH CLI
  • Initializing an environment (for BOSH and CF)
  • Deploying BOSH
Deploy Cloud Foundry
  • Deploying Cloud Foundry using BOSH 2.0
  • Running deployment jobs
  • Initializing an environment (for BOSH and CF)
  • Verifying results using CATs
2
day
see fewer details
Main Concepts of Cloud Foundry
30 m
Deploy BOSH
Main Concepts of Cloud Foundry
30 m
  • BOSH architecture
  • Installing the BOSH CLI
  • Initializing an environment (for BOSH and CF)
  • Deploying BOSH
Deploy Cloud Foundry
Main Concepts of Cloud Foundry
30 m
  • Deploying Cloud Foundry using BOSH 2.0
  • Running deployment jobs
  • Initializing an environment (for BOSH and CF)
  • Verifying results using CATs

About the project

Brief results of the collaboration:

  • Delivered in just six weeks, the solution integrates with the depository, digitizes bond placement, and enables secondary market activities.
  • Built on Hyperledger Fabric, the system ensures transaction confidentiality relying on a blockchain architecture.
  • The platform allows for issuing any securities, while providing new possibilities for a product through smart contracts.

Customers need

National Settlement Depository (NSD) is a central securities depository of the Russian Federation. The company is the largest securities depository by market value of equity and debt securities held in custody. NSD is part of the Moscow Exchange Group (MOEX)—the major exchange organization operating trading markets in Russia.

Main challenge

Brief results of the collaboration:

  • Delivered in just six weeks, the solution integrates with the depository, digitizes bond placement, and enables secondary market activities.
  • Built on Hyperledger Fabric, the system ensures transaction confidentiality relying on a blockchain architecture.
  • The platform allows for issuing any securities, while providing new possibilities for a product through smart contracts.

The solution

Brief results of the collaboration:

  • Delivered in just six weeks, the solution integrates with the depository, digitizes bond placement, and enables secondary market activities.
  • Built on Hyperledger Fabric, the system ensures transaction confidentiality relying on a blockchain architecture.
  • The platform allows for issuing any securities, while providing new possibilities for a product through smart contracts.

Technology stack

Server Platform
Linux, Ubuntu, CenOS, Red Hat Enterprise, Linux
Programming Language
Go, JavaScript, Bash
Technology
Hyperledger Fabric, Docker Compose, AngularJS, Node.js, WebSockets
Database
PostgreSQL, Redis

The Outcome

Partnering with Altoros, the customer developed a blockchain-based solution that automated the issuing of bonds worth $10M. Compliant with government regulations, the platform ensures transparency across bond placement, enables the confidentiality of transactions, as well as maintains secure cross-datacenter communication. Minimizing fraud in a secure trusted network, the system also reduced expenses of the bond issuer. Thanks to Hyperledger Fabric, the prototype was delivered in just 6 weeks.

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Monitoring How-To: Collecting Metrics and Logs
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Try using this platform for just 89 USD/month for each node (organization):

add new financial instruments or commodities traded on the OTC market and offer this platform “as-a-service”
the easiest way to implement blockchain in your business, to demonstrate its benefits to your trading partners, investors, and customers
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