Architecting systems that get it done.

Northhaven is a deep-tech company building autonomous systems for healthcare operations. We engineer our own synthetic-data engines and use them to build products like mintHealth — for environments where precision isn’t optional.

Research-driven origins

We proved that synthetic environments can accurately replicate real-world behaviour — replacing physical and operational bottlenecks with mathematics.

Northhaven Analytics was founded by Oleg Fyłypczuk and Gabriel Wiśniewski with one objective: let heavily regulated institutions test, validate and run complex operations without putting live data at risk.

It started as research into generative models for financial data. The same engine — statistically faithful synthetic data plus adaptive models — turned out to fit healthcare even better, where privacy rules are strictest and operational waste is highest.

Today we work on two levels. We build the foundation — synthetic-data pipelines and our Adaptive Root Architecture (ARA) — and we launch focused products on top of it. The first is mintHealth, the autonomous procurement operating system for ambulatory surgical centers.

The team

A small team of engineers and quantitative researchers in Warsaw.

Oleg Fyłypczuk

Co-founder & CEO

Oleg Fyłypczuk

Quantitative logic and product. Oleg leads Northhaven’s modelling work — from credit and risk simulation to the forecasting models and data pipelines behind mintHealth — and drives the company’s strategy and brand.

Gabriel Wiśniewski

Co-founder & CTO

Gabriel Wiśniewski

Data engineering and system architecture. Gabriel owns Northhaven’s technical foundation: synthetic-data engines, backend architecture and validation frameworks.

Maciej Stefański

Back-end engineer

Maciej Stefański

Builds and maintains the server-side infrastructure behind Northhaven’s data-generation pipelines and API layer.

Mateusz Broncel

Back-end engineer

Mateusz Broncel

Works on the scalability and performance of the synthetic-data systems and generation pipelines at institutional scale.

Ready to build something real?

Whether you run a surgical center, lead a MedTech team blocked by data privacy, or scale risk models at a financial institution — let’s talk.