We're an agency specialized in high-ROI AI transformation. Your proprietary data becomes your most valuable asset, the foundation of AI that delivers measurable ROI.
By CNRS-trained AI experts with 10+ years of experience, the team behind the Synalinks open-source framework.
In two years we've worked with many companies. Every time, the same finding: the problem was neither the model nor the code. It was the absence of usable data, the absence of evaluation, and no clear path to ROI.
AI now lets anyone ship a prototype in days, and many conclude that expertise is no longer needed. But a prototype isn't a production system. For a system to survive contact with reality it needs a dataset that genuinely represents your business (your records, your documents, your teams' know-how) and an evaluation that measures its answers instead of watching them go by. That's the step almost every organization skips, very large ones included: systems get validated on vibes, on a handful of examples that work, and the problems surface in production, in front of customers.
We do build AI systems. That is exactly why we start with the data and the evaluation: they decide whether the system holds, and they are the advantage your competitors can't buy.
We audit, clean, structure, and model your data and domain knowledge so a model can reason over it reliably, turning raw tables, documents, and tacit expertise into well-defined, documented, trustworthy assets. This is the moat off-the-shelf AI can't touch.
Your edge isn't only in your tables. It's the judgment, rules, and know-how living in documents and people's heads. We capture that tacit expertise and turn it into structured, documented knowledge a model can reason over.
We treat data readiness as engineering: measurable, testable, auditable, reproducible. Assets you can defend to a regulator, a board, or a customer, with no black boxes.
We coach your decision-makers on picking the right use cases, and train your technical team to run and extend what we build. The goal isn't that you call us back, it's that you no longer need to.
We map where your data lives, how far it is from AI-ready, and which data and expertise to make ready first. You leave with your AI Roadmap: a concrete, prioritized plan.
We turn your proprietary data and knowhow into structured, documented, model-usable assets: the foundation everything else stands on.
You keep the assets: your proprietary data, delivered AI-ready and documented, and a team able to run and extend them, ready for whatever AI you build on top.
If your advantage is specialized knowhow and proprietary data, generic AI will always underdeliver: it doesn't know your field or your data. We turn your knowledge into the AI advantage only you can have.
Specialized services, industrial, professional. “Generic AI doesn't know our field.” We make it know yours.
Finance, legal, health, industry. AI you can actually audit and defend.
A year in, nothing in production. We fix the data foundation first, so the use cases you build on it actually survive production.
Anonymized engagements, described by the need, what we built, and the asset the client kept.
A labelled dataset built from scratch, then the classification system trained on it.
Persona-driven multi-turn conversations, played against the RAG in production.
Execution traces turned into an analysable dataset.
A short assessment, fixed scope and fixed price. You leave with your AI Roadmap: the exact gap, and the data and expertise worth cleaning and organizing first. Yours to keep, whether or not you work with us next.
