Data you can trust
We help companies bring order to their data and put AI to work on it: from quality audits and analytics to AI agents and RAG running in your own environment.
Services
Two directions that support each other: data you can trust, and AI that works on that data inside your company.
Data services
Data Quality
Quality audits, rules and metrics, automated checks and master data management (MDM).
Learn moreData Governance
Data owners and stewards, policies, a data catalog and a business glossary: clear rules for who is responsible for what.
Learn moreAnalytics & BI
Data marts and warehouses, dashboards and reporting, a single metrics system for management decisions.
Learn moreData Engineering
Pipelines, DWH and Lakehouse, integrations and migrations, infrastructure reliability and cost.
Learn moreData Strategy & Audit
Maturity assessment, target architecture, initiative roadmap and return evaluation.
Learn moreData Security
Classification, access control, masking and audit of sensitive data, so that the right people see the right data.
Learn more
AI services
Enterprise AI Environment
An AI environment inside your company, on-premise or in the cloud: models, access, logs, guardrails and the agent harness.
Learn moreAI Agents for Business
AI agents that do real work in your processes and systems, with clear limits and checks on their results.
Learn moreRAG: AI on Your Knowledge
AI search and answers over your documents and data, with links to sources and respect for access rights.
Learn moreMCP and AI Integration
MCP servers and integrations that connect AI to your databases, documents and business systems in a controlled way.
Learn moreML & Advanced Analytics
Forecasting models, scoring, recommendations. Production rollout and model quality monitoring.
Learn moreAI Consulting and Readiness
An honest assessment of where AI will pay off for you, whether your data is ready, and a practical rollout plan.
Learn more
About
Industry does not matter to us: we build data products in any business context. First we dive deep into the client's business, systems and processes, and only then do we build high-quality data products.
More about us- 7+
- years in data projects
- 10+
- completed projects
- 5+
- industries
How we work
- 01
Audit
We review sources, processes and the current state of data. We document issues and their cost to the business.
- 02
Plan
We agree on priorities, target architecture and a roadmap with clear deliverables per stage.
- 03
Delivery
We build and configure solutions together with your team, transferring knowledge along the way.
- 04
Support
We sustain the result: quality monitoring, evolving reports and models, ongoing advice.
Articles
All articles- November 5, 2026 · 4 min read
BI for retail: the reports you actually need
Which BI reports a retailer really needs: sales, margin, stock, promotions and channels, plus common traps with moving holidays, sales tax, weekends and currencies.
Read the article - November 5, 2026 · 4 min read
Data management frameworks: 11 domains explained
What data management frameworks such as DAMA-DMBOK and DCAM cover, the 11 domains in plain language and where an organization can realistically start.
Read the article - November 5, 2026 · 4 min read
Data privacy laws and data quality: what to fix first
Why privacy compliance depends on data quality: accurate records, data subject requests, breach response and what a company should put in order first.
Read the article
Free 30-minute data review
Tell us about your task. In a 30-minute online call we will find where your data breaks down and what to fix first. Free and with no obligation.
