Industries
Different industries fail AI projects for different reasons. These pages cover what matters in yours, and the systems already shipped there.
Legal-tech & Law Firms
Legal work runs on documents, precedent and confidentiality, which is exactly where generic chatbots fail. I build legal AI that retrieves the right passage with a citation, protects personal data before anything is indexed, and respects who is allowed to see what. One of these systems indexes more than 50,000 French-language court decisions in production.
Government & Public Sector
Public organizations need AI that answers accurately, keeps internal guidance internal, and stands up to public scrutiny. I've built a dual-endpoint assistant serving both citizens and field teams from one governed knowledge base, sized for 10,000+ queries a day.
Healthcare & Digital Health
In health, an AI that is confidently wrong is worse than none. I build assistants and models that are useful and cautious: grounded guidance, risk detection that routes people to real help, and screening models designed as decision support, not diagnosis.
Fintech & Financial Services
Finance runs on long documents and careful decisions. I build agents and pipelines that do the reading, extracting and structuring, and that pause for a human before touching anything sensitive, with every step traceable.
SaaS & Startups
For a product team, AI has to do two things at once: delight users and keep margins intact. I build AI features end to end (chat, agents, voice, automation) with the cost controls, billing and testing a real product needs.
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