See how Olympix catches what audits and AI miss

We'll walk you through the quality of findings on code like yours, how teams run Olympix day to day, and how security leaders set and enforce thresholds.

We find what AI finds, and what it cannot.

A proprietary formal methods + AI engine, not limited to AI pattern matching.

$680M in losses preventable by Olympix. Balancer $121M. Truebit $26.6M. Cork $10M. See the exploits Olympix would have prevented.

The biggest teams in blockchain

enforce Olympix during development to find and fix audit-level issues, including what audits miss.

Circle
Securitize
Aave
Uniswap Foundation
Arbitrum Foundation
Ethena
Sky Mavis
LI.FI
Crossmint
Cork Protocol
IPOR
Stake DAO
Yield.xyz
Uniform Labs
Catalysis Labs

What the walkthrough covers

Send us a repo that's already been audited, and we'll run Olympix at the same commit and show you what comes back.

Findings on your own code

Real issues in your contracts, each one returned with a counterexample and a test that replays it.

How teams run it

Olympix runs at every merge and before release, alongside your auditors, across the whole codebase.

Thresholds you can enforce

Set zero high and medium findings, a minimum branch coverage or a mutation score, and see where every contract stands against them.

In their words

“Audits from top-tier firms are critical, but they are point-in-time. We added Olympix as a continuous, deterministic layer that runs alongside our audits and gives our team additional security controls throughout the development lifecycle.”

Jorge Serna

CTO & CPO, Securitize

“Leveraging Olympix, our team has been able to uncover audit-level findings early in the development lifecycle which has streamlined our internal audits and given us confidence that we’re maximizing external auditors’ time.”

Philipp Zentner

Co-founder & CEO, LI.FI