Patronus AI is off to a magical start as LLM governance tool gains traction
Reading Time: 2 minutesThese days every company is trying to figure out if their large language models are compliant with whichever rules they deem important, and with legal or regulatory requirements. If you’re in a regulated industry, the need is even more acute. Perhaps that’s why Patronus AI is finding early success in the marketplace.
On Wednesday, the company that helps customers make sure the models are compliant on a number of dimensions, announced a $17 million Series A, just eight months after announcing a $3 million seed round.
They believe in the potential of the growing market, which is really just getting started. ‘Since we launched we’ve worked with many different kinds of portfolio companies and AI companies and mid-stage companies, and so through that our customers have made several hundreds of thousands of requests through our platform,’ he said.
The company’s main focus is a piece called Patronus Evaluators. ‘These are essentially API calls you can implement with one line of code, and you can in a very, very high-quality and highly reliable way, you can scalably measure performance of LLMs and LLM systems across various dimensions,’ Kannappan said.
This includes things like likelihood to hallucinate, copyright risks, safety risks and even enterprise-specific capabilities like detecting business-sensitive information and brand voice and style, things that enterprises care about from both a regulatory and reputation perspective.
As we wrote at the time of the seed announcement:
The company has doubled from the six employees they had at the time of their seed funding last year, and expect to double again this year.
The $17 million investment was led by Notable Capital with participation from Lightspeed Venture Partners, Factorial Capital, Datadog and industry angels.
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Ref: techcrunch
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