As enterprises troubleshoot their AI systems, governance has emerged as a key challenge. Some are taking a dual approach: One model to handle incoming queries, while a second model keeps the first one from getting into trouble.
That’s the premise of ZeroDrift, a new AI compliance service that announced a $10 million seed round on Tuesday. (Investors include a16z Speedrun, Reign Ventures, PitchDrive Ventures, and U&I Ventures, among others.) The company deals entirely with the second part of the system, sitting between AI models and end users to flag and replace any messages that might present a compliance problem.
It might seem strange to build an AI system to correct other AI systems’ mistakes — but ZeroDrift’s correction system has a few architectural advantages over the models it will be correcting. The system is triggered by conventional programs that deterministically apply known compliance standards like SOC 2 or GDPR. The LLM only comes in once a message has been flagged, rewriting a compliant version of the same message.
“We’re able to identify deterministically, what are all the regulated areas, what’s the violation that’s being broken, and then we have LLMs that can do the rewrites,” Aroomoogan says.
