Services
Four services. One bar: it has to hold in production.
Four ways to buy the same thing. One workflow, running inside your own systems, priced before we start. It does not ship until the tests say so.
The four
Four ways to buy it, and the same bar under all four: it has to hold up on your real data, in your own systems, with a test that says so.
Not on the menu, still ours
The engineering under the AI
Agents run on infrastructure somebody has to operate. The method we use to attack other people's code is the one we use to check our own claims.
The infrastructure underneath
We run the cloud your AI sits on, and fix it by finding the cause, not by buying bigger servers.
- Cut a production cloud bill 60 percent in one audit, $5,506 a month down to $2,186, with zero new capacity bought.
- Cut an unstable API's slowest responses from 59.5 seconds to 13.3, a 77 percent drop, by changing settings and not servers.
One client's AWS account, measured on the bill and the metrics either side of a single audit, with no new capacity bought. One estate, one change window, and that speed figure is a burst measured after the deploy rather than a quarterly average.
AI for smart-contract security
Multi-agent systems that audit smart contracts and surface real findings, where AI meets web3. A smart contract is code that moves money on a blockchain.
- Several models run against each other on the same target.
- Every candidate finding clears seven gates before a human sees it.
The security research system we built for ourselves, not a client's: seven checks a finding clears before we submit it, and high and medium findings on live audited protocols. Protocol names withheld by choice; a gate filters a candidate rather than proving it exploitable.
