ZeroDrift, a startup that builds an AI compliance layer designed to catch and correct outputs from other AI systems before they reach users, has raised $10 million in a seed round. The investors include a16z Speedrun, Reign Ventures, Pitchdrive and U&I Ventures. The company's product sits between an AI model and the end user, flagging messages that could create a compliance problem and replacing them with a compliant version.
The approach separates the detection step from the correction step. Rather than relying on an AI model to police itself, ZeroDrift uses conventional software to deterministically check messages against known compliance standards such as SOC 2, a security and data-handling certification, or the European Union's GDPR privacy rules. An AI model only becomes involved once a message has been flagged, at which point it rewrites the message into a compliant version.
"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," said CEO Kumesh Aroomoogan.
ZeroDrift says this structure lets its system run with lower latency and more reliability than a conventional large language model, which the company presents as its main argument against using a general-purpose model from a provider such as OpenAI or Anthropic, which is often already part of the underlying system.
The clearest use case is AI chatbots that interact directly with consumers, where an incorrect or non-compliant answer can have consequences. Aroomoogan also sees a broader market in AI-generated messages that move between automated systems without a human ever seeing them, a segment he expects to grow as AI use spreads.
Aroomoogan described the fundraising as unusually fast and credited Andreessen Horowitz with helping structure the round. "It was probably the fastest fundraising I've done in my life," he said. "We closed within three weeks, and we will be oversubscribed by 3x on the amount."
