Patronus AI, a provider of an automated evaluation and security platform secures $17million in series A round funding.
Leading the round, which raised the total to $20 million, was Notable Capital’s Glenn Solomon. Lightspeed Venture Partners, Datadog, Gokul Rajaram, Factorial Capital, and executives in the software and AI industries also participated.
The company plans to train assessment models, create new industry standard benchmarks, and grow its AI research, engineering, and sales teams with the help of the financing.
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Large language model (LLM) errors can be found at scale by businesses with the use of Patronus AI, an automated assessment and security platform founded by Anand Kannappan and Rebecca Qian. Enterprise development teams may assess model performance, create hostile test cases, benchmark models, and more with the help of proprietary AI.
It reduces the risk of model failures and misaligned outputs by automating and scaling the human model evaluation techniques that are now common in enterprises. This allows organisations to implement LLMs.
About Patronus AI
The top automated AI security and evaluation firm is Patronus AI. Enterprise development teams may benchmark LLMs, create adversarial test cases, assess LLM performance, and more with our state-of-the-art platform. Patronus AI is used by clients to securely and confidently deploy AI solutions and discover LLM errors at scale.
