Services
End-to-end work with data: from warehouse design to analytics, AI and ongoing support.
Data warehousing & architecture
Building an Analytical DWH
Design and delivery of an analytical data warehouse on Google BigQuery or ClickHouse — a single source of truth for reporting and BI.
Learn more →Lakehouse Implementation
Lakehouse architecture: the benefits of a data lake and a DWH in a single solution — for raw and structured data, analytics and ML.
Learn more →DMP — Data Platform Management
A unified enterprise data platform (DWH/lakehouse): collecting data from every system, order and quality, governance — the foundation for BI, analytics and ML.
Learn more →MDM — Master Data Management
A single trustworthy register of master data: customers, products, counterparties. Eliminating duplicates and discrepancies between systems.
Learn more →Analytics & BI
Dashboard Development
Clear, fast dashboards in Google Looker Studio and Metabase — for marketing, sales and management.
Learn more →End-to-End Analytics Build
End-to-end analytics from ad spend to customer payments: ROI and ROMI by channel in a single dashboard.
Learn more →BI Systems Audit
An independent assessment of your BI and analytics: data quality, warehouse architecture, dashboards, bottlenecks and a prioritized improvement plan.
Learn more →Real-time data analytics development and implementation
Real-time ETL/ELT development and implementation: collecting, processing and delivering data to warehouses, BI and data marts in real time. Stack: Kafka, ClickHouse, Redis, S3, Apache Airflow.
Learn more →AI / ML
Implementing AI Agents in Data Analytics
LLM agents for analytics: ask questions of your data in natural language, automate routine analytical tasks and enable self-service BI.
Learn more →MLOps
Infrastructure for machine learning: reproducible pipelines, versioning, deployment and monitoring of ML models in production.
Learn more →Corporate RAG development
Corporate RAG system development: an AI assistant answering from your documents and knowledge base, vector search, integration with Telegram, web chat and API, deployment on your server.
Learn more →MCP server implementation
Turnkey MCP server (Model Context Protocol) implementation: AI models working safely with your data and systems — CRM, databases, internal APIs; taking actions and automating processes.
Learn more →Delivery, migration & support
Pre-project analysis for DWH implementation
A survey of sources, metrics and requirements, design of the DWH architecture, and a transparent project estimate before work begins.
Learn more →Data infrastructure migration
Moving warehouses and pipelines between clouds and on-premise without data loss or downtime: BigQuery, ClickHouse and others.
Learn more →Technical support for DWH and dashboards
Reliable operation of the warehouse and dashboards: monitoring integrations, fixing failures, enhancements and development.
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