Common questions

Do you work with startups or only enterprises?

Both. We've worked with early-stage startups needing their first clean data model and established companies overhauling a legacy warehouse. What matters is a real problem, not a headcount.

What if we don't know exactly what we need?

That's fine — it's the most common starting point. Our discovery process is specifically designed to map your situation and surface the highest-leverage interventions before we commit to anything.

How long does a typical engagement last?

Projects range from two-week focused sprints (e.g. a DBT model audit) to multi-month buildouts. We scope to fit the real problem, not pad time.

Do you offer ongoing support after delivery?

Yes. Retainer arrangements work well for teams that want a data partner on call — code reviews, new feature builds, and monitoring — without hiring full-time.

What tech stacks do you work with?

Primarily BigQuery, Snowflake, DBT, Fivetran, Python, FastAPI, and the modern LLM toolchain (OpenAI, Anthropic, LangChain, vector DBs). We'll tell you honestly if something is outside our core.

What's the minimum project size?

We don't have a hard floor, but projects under €3k are rarely scoped well enough to deliver real value. We'd rather point you in the right direction for free than take on work that won't move the needle.