You can't promise trust in AI code. You can prove it.
Sheaf Labs pairs generative models with symbolic engines — Z3, Coq, K — so the code an AI writes carries a proof, not a probability. Our first prover does this for smart contracts.
The answer to vibe-coding: nothing taken on faith.
The network generates
A neural model proposes the solution and the scaffolding around it — the parts experts write by hand today.
The symbolic core proves
Z3, Coq and K discharge it. Nothing is taken on faith — every claim ships with a checkable proof.
Or it shows the break
No proof? You get a concrete counterexample — the exact path and state where it fails.
Provably-correct smart contracts.
You describe what must hold for your protocol — one economic invariant such as sumAllBalance() == totalSupply(). The agent generates a solution and a machine-checked proof that it does — or the exact counterexample that breaks it. The hard part — the formal proof harness — stays hidden.
Correctness as the default.
We're open to research collaborations and design partners. If trustworthy AI-generated code matters to you, drop us a line.
[email protected]