03 — Services
Designing, hardening or unblocking a system — where the technical stakes are high. As a one-off mission, ongoing support, or focused expertise on a single point.
An application that grows quickly becomes hard to evolve, test and maintain.
The answer lies in a clear, layered architecture, from front-end to back-end — Vuejs on the front, Python or TypeScript/Nodejs on the server — tested, documented, built to last and to be picked up by a whole team.
Data scattered across sources, with no common model, stays impossible to use with confidence.
A clean data model and reliable, versioned, verifiable pipelines give it a footing that products and decisions can genuinely rely on.
Bringing AI into a real product means moving from prototype to something reliable, measured and under control.
That means framing the use cases that matter, measuring what actually works, and shipping to production without destabilising what exists.
An application that is slow, costly or fragile — with no clearly identified cause.
A prioritised diagnosis (architecture, database, contention points) surfaces the root cause and leads to a concrete action plan, ordered by impact.
A legacy system ends up slowing every change.
Rather than a rewrite, a step-by-step modernisation — containerisation, continuous integration, production safeguards — to regain speed without breaking everything.
An ill-posed problem, a structuring architecture choice, a topic with high uncertainty.
A researcher’s method — analyse, model, decide — makes it possible to choose on solid ground rather than intuition.
Describe it in a few lines and I’ll get back to you quickly.
Describe your need