Olympix is a formal methods and AI security platform for smart contracts. Set security thresholds, prove your code meets them, and gate releases on the result.
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AI is shallow pattern matching. High false positives, and it misses true positives and novel vulnerabilities.
Fuzzing is random. It samples the input space, so it only finds what it happens to generate. A clean run means nothing was found, not that nothing is there.
Formal verification proves things, and by hand it is expensive enough that teams verify a subsection of the system and ship the rest.
Audits are a point-in-time review of a fraction of the code. 88% of stolen funds since 2025 came from audited codebases.
Security has to shift left. Not a best guess. Deterministic findings you can measure and enforce.
Source: CoinGecko, 2026 State of Crypto Security.
Olympix sits in the test layer, so the audit reviews hardened code and monitoring has less to catch.
“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
Our proprietary engine: AI grounded in intermediate representation, symbolic execution, and a proprietary database of signals. AI proposes. The engine proves.
Every reachable path, checked against the set of deterministic attack strategies that applies to it.
Output: a POC for every violation, and a measurement: which reachable paths were adversarially tested and which weren't.
Infers the invariants and trust assumptions your code implicitly rests on but never states, then symbolically executes until one breaks.
Output: an executable counterexample, the exact state transitions, and the minimum conditions required to trigger it.
With a detector set written for smart contracts, not adapted to them.
That gives you an enforceable coverage metric, not a line count.
Olympix connects to your repo, so it doesn't matter where the code gets tested. Run it in CLI, in your agent, in CI. The thresholds live in the dashboard, and every commit is measured against them.
Security posture stops being something an audit measures once and becomes something you measure continuously, and enforce.
Olympix ran as a research lab for two and a half years before it was a product company.
Olympix starts as a research lab, not a product company, and Circle joins as a design partner from day one.
The engine runs on real codebases, and only patterns that preceded real vulnerabilities become signals.
After two and a half years of research, the engine ships as a platform: four tools on one formal methods engine.
Teams across onchain finance run Olympix before every audit, from stablecoins to tokenized assets.
That body of work is not in any training data.
We take a public repo that has been through a professional audit and run the engine on it live. See what Olympix surfaces that the audit report doesn't contain.
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