About

About

A technology partner who understands both business and engineering.

Igor Klimchenkov

10+ years in IT, with the last several focused on designing and building operational systems for companies with high demands on reliability and data. Started in business, then moved to development and data engineering. Worked in large corporations managing complex data flows. Today I help companies build a unified operational environment — without chaos or manual routine.

Study real work
We don't guess. We immerse ourselves in daily processes, tasks, and pains of the people who will use the system.
Build organically
The system fits existing workflows, doesn't break habits, and requires no lengthy training.
Create systems people like
Users adopt them without pressure because their work becomes easier.
Igor Klimchenkov

My path

From business challenges to engineering solutions and a unified operational environment.

01

Business practice

Started in commerce, managed processes, saw how lack of systems leads to chaos and losses.

02

Hands‑on engineering

Moved to IT — wrote code, designed integrations, built data warehouses for complex organisations.

03

Unified operational environment

At SberAnalytics, led product data platforms and BI. Learned the key to controllability: a unified data model and operational applications on top. That's exactly what I build for my clients now.

How we work

Five stages, from research to evolution.

01

Research

Analyse your business, workflows, data, and constraints.

02

Architecture

Design a tailored solution with a clear technical foundation.

03

Development

Build robust, high‑quality systems with engineering excellence.

04

Integration

Connect systems, migrate data, ensure seamless operations.

05

Evolution

Continuously improve and scale with your business.

What we build

Unified operations

Connected systems replacing disconnected tools, manual coordination, and silos.

Embedded analytics

Real‑time operational intelligence integrated directly into business workflows.

AI‑native infrastructure

Systems architected for intelligent automation, prediction, and decision support.

Enterprise architecture

Scalable, secure infrastructure engineered for long‑term growth and reliability.

Why companies work with us

  • Unified system architecture instead of isolated tools
  • Deep operational modeling before implementation
  • Enterprise‑grade engineering discipline
  • AI‑ready infrastructure and structured data foundations
  • Long‑term scalability over short‑term feature delivery
  • Data management based on fundamental principles (including DAMA)

Let's discuss your infrastructure

30–40 minute strategic conversation focused on operational architecture, constraints, and realistic next steps. No obligation.