Hard AI problems
When the obvious approaches plateau, we research, prototype and evaluate until the system works.
- Agents
- RAG
- NLP
- Fine-tuning
AI engineering studio · Paris / Worldwide
We solve high-stakes AI problems where off-the-shelf answers stop—and build the entire 0→1 system around the solution.
Discuss your problemModel → data → infrastructure → interface
Selected outcomes
What we do
Senior research depth and full-stack execution, without the handoffs.
When the obvious approaches plateau, we research, prototype and evaluate until the system works.
One accountable engineering team from raw idea to a usable, tested product in production.
Fast, observable and cost-aware foundations built for real traffic—not a notebook demo.
Selected work
Production systems for organizations where quality, speed and reliability matter.
Evolved two high-traffic customer chatbots through transformer migration, a production RAG agent and direct platform integration.
Built an eval-first agentic system that reconciles clinical-trial safety narratives across hospital and pharmacovigilance records.
Researched and trained language models for Java code generation, from pre-training and ablations to benchmark-leading results.
How we work
Small loops, explicit measures and one team accountable across the full system.
Turn the ambiguous problem into a falsifiable target and a practical evaluation set.
Attack the riskiest assumptions first. Prototype, measure and choose the simplest viable path.
Engineer the full system—model, data, infrastructure, APIs and the interface people use.
Deploy with observability, feedback loops and cost controls so performance compounds.
Built for hard problems
CORNICHON AI combines language-model expertise with the infrastructure and product engineering needed to make AI useful.
From regulated industries to high-traffic platforms, we take ownership of the full path: framing, evaluation, models, data, infrastructure and interface.
Have a hard problem?
Bring the challenge. We’ll bring the path from first principles to production.
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