Formal Methods × Generative AI
AI you can actually
trust, 100%
We combine the creativity of generative AI with the reliability of mathematical formal methods. By leveraging the verification capabilities of formal methods, such as the Lean 4 theorem prover, we pioneer a new generation of LLMs that are reliable, transparent, and cost-efficient.
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Our Value Proposition
Four unique formal guarantees to every LLM we build.
100% Logical Consistency reliability
Zero reasoning hallucinations, even on arbitrarily long chains of thought.
100% Enforceable Constraint reliability
Add your regulatory, legal, or business rules once, and it becomes formally impossible for the model to disregard them.
100% Traceability transparency
Every decision is accompanied by a fully transparent proof, ending the “black-box” era.
Significantly Lower Cost efficiency
No more expensive guardrails, human-in-the-loop reviews, LLM-as-a-judge pipelines, or over-sized models to compensate for unreliability.
Use Cases
Our solution applies to three critical business needs.
Trustworthy Generative AI
100% logical consistency, enforceable constraint, full traceability, and lower cost across LLMs and Vision-Language Models.
Robust Alternative to Traditional ML
While statistical models give you probabilities, we give you certainty. Our engine directly executes and verifies your exact business rules as formal specifications: no data drift, no retraining when rules evolve.
Document & Decision Logic Auditing
Instantly prove consistency across thousands of documents, contracts, or policies. Retroactively audit historical decisions and guarantee your entire knowledge base is logically coherent and regulation-compliant.
The Team
Co-founders
The two co-founders met during their Ph.D. at ENS Paris-Saclay.
Sylvain was a Senior ML Product Engineer at Probabl, the startup spin-off from Inria and official operator of scikit-learn. He holds a Ph.D. from ENS Paris-Saclay. He was a data science lecturer at École polytechnique EXED, École polytechnique (X-HEC Data Science for Business MScT), and CentraleSupélec EXED.
Antoine worked at Qubit Pharmaceuticals, first as a software engineer working on the company’s HPC calculation management, then as a ML engineer. Antoine holds a Ph.D. from ENS Paris-Saclay and graduated from both École polytechnique and MVA (Mathématiques, Vision, Apprentissage).
Founding team
Business angels
and many more…