We're Quinten and Bart. We build data pipelines, web scrapers, and web apps for teams that don't want a full-time hire but still need something good.
Small, sharply scoped engagements. Working things. No discovery phase, no slide decks, just shipping.
What we don't do: pure design, marketing copy, and anything with “Web3” in the name.
Models and analytics that answer real questions. We work with the data you have and hand back something you can use.
Reliable extraction and ETL. Schema-validated, scheduled, monitored. Clean rows or a small API, your call.
Small, well-built web apps. Streamlit and Shiny for data tools, React/Next for product surfaces.
Document extraction, retrieval, and analysis with LLMs. Practical and measured, not a demo.
Internal tools that quietly replace spreadsheets. Forms, sync jobs, scheduled reports.
Models and analytics that answer real questions. We work with the data you have and hand back something you can use.
Reliable extraction and ETL. Schema-validated, scheduled, monitored. Clean rows or a small API, your call.
Small, well-built web apps. Streamlit and Shiny for data tools, React/Next for product surfaces.
Document extraction, retrieval, and analysis with LLMs. Practical and measured, not a demo.
Internal tools that quietly replace spreadsheets. Forms, sync jobs, scheduled reports.
What we don't do: pure design, marketing copy, and anything with “Web3” in the name.
You send what you have in mind, one paragraph is enough. We both read it and usually reply within a day.
Half an hour on a call or meet in The Hague. We check whether it fits: scope, timing, who'll be the lead.
Two to eight weeks. Short demos along the way, no PowerPoint status updates. Direct line to the builder, not via a PM.
Code in your repo or platform. Documentation. Two weeks aftercare standard, longer when the scope warrants it.
No kickoff deck. No weeklies to discuss the weeklies. We just call it working.
Data engineer at AKIDA. Builds pipelines and LLM extraction over millions of government documents. MSc Applied Data Science (UU), background in bioinformatics. At home from query plan to dashboard.
Data scientist at AKIDA and TenderNed. Builds project and tender analytics over billions of tender records with Python, SQL, and LLMs. BSc AI (UU), MSc AI (Leiden), published research on Theory of Mind in LLMs.
We read every message ourselves, both of us. If it fits, we'll schedule a short call. If not, we'll point you somewhere good.
No sales funnel, no middleman. Usually a reply within a day, from Q or B.