ZeroDrift raises $10 million to protect AI models from themselves
Key takeaways
- As enterprises troubleshoot their AI systems, governance has emerged as a key challenge.
- That’s the premise of Zero Drift, a new AI compliance service that announced a $10 million seed round on Tuesday.
- 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.
Why this matters: a development in AI with implications for how people work, create, and decide.
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 Zero Drift, a new AI compliance service that announced a $10 million seed round on Tuesday. (Investors include a16z Speedrun, Reign Ventures, Pitch Drive 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.