Consulting

Your data is talking. Is anyone listening?

Fractional data and AI engineering for funded startups. Warehouses, metric layers, dashboards, and LLM features whose answers you can verify. Based in Prague.

What I do

Revenue & retention audit

Find out where your business is leaking money. Churn patterns, underperforming segments, broken funnel steps. Deliverable: specific numbers and ranked recommendations.

3–4 weeks

Warehouse & metric layer

From scattered sources to a warehouse with definitions that hold. dbt models, tests that fail the build rather than the dashboard, and one registry so a metric means one thing everywhere.

4–6 weeks

Dashboards & reporting

Operational dashboards your team will actually use — not pretty charts that go stale in a week.

2–3 weeks

LLM features you can trust

An assistant over your own data, built so it cannot invent a number or a definition: it answers through your metric layer, and every figure is checked against the query it came from. Shipped with an evaluation set, so you find out when it degrades.

3–5 weeks

Ongoing support

A monthly retainer for teams that want a data partner without the cost of a full-time hire.

/ month

How I work

I work with startups and small companies that have data but no dedicated analytics function. My approach is direct — I skip the fluff, find the problem fast, and deliver something your team can act on immediately.

Every engagement starts with a small, scoped project so you can see the value before committing to anything bigger.

How it starts

01 — Short intro call. 30 minutes to understand your data situation and where the biggest gaps are.

02 — Scoped proposal. A clear project with defined deliverables, timeline, and fixed price — no surprises.

03 — We get to work. You get results, not status meetings. I keep communication tight and progress visible.

Typical first project takes 3–4 weeks.