
ZeroDrift raises $10 million to protect AI models from themselves
Quick Answer
ZeroDrift has secured $10 million in funding to develop an AI compliance service that monitors interactions between AI models and users, ensuring compliance by flagging and replacing problematic messages.
Quick Take
ZeroDrift has secured $10 million in funding to develop an AI compliance service that monitors interactions between AI models and users, ensuring compliance by flagging and replacing problematic messages. This service aims to enhance the reliability of AI outputs, particularly for businesses relying on AI-driven communication.
Key Points
- ZeroDrift's service acts as a compliance layer for AI interactions.
- The company raised $10 million to enhance its AI compliance technology.
- The service flags and replaces messages that may violate compliance.
- Target users include businesses utilizing AI for communication.
- Improved reliability of AI outputs is a key goal.
📖 Reader Mode
~2 min readAs enterprises troubleshoot their AI systems, governance has emerged as a key challenge. Some are taking a dual approach: one model to handle incoming queries, and another to keep the first one from getting into trouble.
That’s the premise of ZeroDrift, a new AI compliance service that on Tuesday said it had raised $10 million in a seed funding round that saw investments from a16z Speedrun, Reign Ventures, Pitchdrive, 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 tool to correct other AI systems’ mistakes, but ZeroDrift says its 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, and the LLM only comes into play 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,” CEO Kumesh Aroomoogan says.
Critically, the company says its entire system can be run with lower latency and more reliability than a conventional LLM. This is what ZeroDrift touts as its primary advantage over big labs like OpenAI and Anthropic, which are often already present in the underlying system.
The most obvious use case is for AI chatbots, which are already deployed in front of consumers where there can be serious consequences for rogue answers. But Aroomoogan sees a much larger total addressable market, potentially spanning AI-generated messages that are generated only within automated systems that humans will never see. So far, it’s a relatively small market, but it’s one that will grow as AI proliferates.
If the fundraise is any indication, there’s a lot of pent-up demand for such products. “It was probably the fastest fundraising I’ve done in my life,” Aroomoogan says, crediting Andreessen Horowitz for helping structure the seed round. “We closed within three weeks, and we will be oversubscribed by 3x on the amount.”
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Russell Brandom has been covering the tech industry since 2012, with a focus on platform policy and emerging technologies. He previously worked at The Verge and Rest of World, and has written for Wired, The Awl and MIT’s Technology Review. He can be reached at russell.brandom@techcrunch.com or on Signal at 412-401-5489.
— Originally published at techcrunch.com
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