Our Competence Centers
We develop software and conduct analytics according to the needs of the customer
Any project begins with communication between stakeholders in a language that is far from technical. At this stage, the needs are identified and the main requirements are clarified
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User stories, recorded user requirements - Features list, list of future system functionality
- Vision and scope, collaborative study of viability of the required system
- Resources, list of experts involved in the project
- Roadmap, project roadmap
- Diagrams and schemes (process flow, use cases) on BPMN
Systems Analysis
Our competence center "Systems analysis" employs analysts who solve complex problems on large customer projects
- Collection and analysis of requirements
- Integration contracts design
- Formation of input and accompanying documentation (BRD, Solution design document, PRD, Technical requirement document, Integration Design Specification and others)
- Formation of output and user documentation (testing protocols, administrator instructions and others)
- Participation in testing and acceptance tests
- Requirements change management
- Estimating resources as part of project planning using different approaches: Agile (Scrum и Kanban), Waterfall
Mathematical Modeling
Projects with modern approaches to algorithmization of problems require the participation of savvy specialists in the field of Machine Learning (ML, machine learning), classical algorithms and probability theory
- Development of mathematical models from any branch of Data Science (DS): logical, metric, linear, neural networks
- Experience in implementing behavioral models in multi-agent systems (MARL, multi-agent reinforcement learning)
- Extensive experience in CV (Computer Vision)
- Experience in designing digital twin systems
- Developments in AutoML
- Digitalization of physical models
Any software product is accompanied by a large amount of computing that takes place on powerful servers outside of user devices
- Monolithic and microservice (REST API, SOAP) architecture
- Online and batch applications
- Working with relational (Oracle, PostgreSQL) and non-relational (Hive, Impala) databases
- ETL processes and data warehouses
- Synchronous (Flask, gunicorn) and asynchronous (asyncio, unicorn) web services
- Big data services (Hadoop ecosystem)
- Working with event streaming platforms (Kafka)
- Configuring clustered multithreaded service orchestrators (OpenShift, Docker)
- Working with major metrics collection systems (Grafana, Prometheus)
Frontend
Our projects can be accompanied by the implementation of user interfaces
- The team has specialists with UX/UI competencies
- Development of dynamic websites on Jinja2 and Django
Systems Integration
Our team has extensive experience in integrating heterogeneous systems
- Creation of a unified IT ecosystem
- Providing the system with unified regulatory and reference information
- User education
- Administration, technical support and maintenance of the information system
- Development and configuration of adapters for combining applications, systems
- System integration using the enterprise service bus (ESB), message brokers and REST interaction
- Building a service-oriented architecture (SOA)
- Integration of public cloud components, service automation, integration with on-premise solutions
- Migrating infrastructures and applications to and between clouds
As part of the Quality Assurance Center, work is carried out on versatile testing of software products
- Unit testing
- Test coverage calculation
- Walkthrough QG (Quality Gates)
- Integration-functional testing
- Load testing (regression testing)
- Acceptance testing
- User testing
DevOps
Our team also provides the needs for building CI/CD pipelines
- Configuring automatic builds of software projects
- Implementation of Infrastructure-as-Code (IaC) practices
- Integration with source code management tool
- Integration with code testing systems
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