Optimize complex code
with AI-native formal methods
We use massive inference compute to massively optimize your code while proving identical behavior.
Trusted by
Speed without the risk.
Proven equivalent
Each faster version comes with a proof that it does the same thing as your original code, for every input.
Benchmarked on your terms
We agree on the benchmark first, then report every result against it. Attempts that didn't help are in the report too.
Our latest optimization engagement
Co-designed with the Ethereum Foundationevm.fast
A faster Ethereum execution engine. Agents look for quicker ways to run transactions, and proofs check that Ethereum's rules still hold.
Read the code on GitHubVerification turnaround
After our import and cache improvements.
How proven optimization works
Specification
We write down what your code must keep doing, and agree with you on how speed is measured.
Optimization
AI agents try thousands of faster versions in parallel.
Verification
We keep only the versions that are faster and proven to behave like the original. You can re-check every proof with one command.
3 months of maintenance
Change your code and we re-verify the optimized version at no extra cost. Extendable to 12 months.
You pick the benchmark
You choose what counts as faster. We report every result against it.
Frequently asked questions
Contact our team
We take 4 protocols per quarter. Formal verification demands deep focus. We'd rather verify fewer contracts well than many poorly.