Patronus AI, a startup that specialises in aiding companies in identifying and rectifying reliability issues within their large language models, has raised $17m.
According to Silicon ANGLE, the company recently closed a significant investment round, securing $17 million. Notable Capital spearheaded the Series A round, accompanied by Datadog Inc., Lightspeed Venture Partners, Factorial Capital, and various angel investors from the technology sector.
Patronus AI has developed a sophisticated platform utilising AI to automatically generate adversarial prompts. These prompts serve to assess the reliability of large language models by attempting to elicit unintended responses. Additionally, the platform provides prepackaged reliability evaluations and includes a dashboard for visualising test results.
With the newly acquired funding, Patronus AI intends to bolster its product development initiatives. It aims to expand its AI research and engineering teams, doubling its current headcount to around 24 employees by the end of the year. Concurrently, the company plans to enhance its go-to-market strategies.
Patronus AI’s CEO, Anand Kannappan, emphasised the importance of transparency in model performance, stating, “Model hallucinations and safety risks are here to stay. What enterprises need is transparency into model performance and accuracy in order to circumvent risks.”
Kannappan further highlighted the platform’s capabilities in improving the reliability of language models with retrieval-augmented generation features. He mentioned, “For the first time, we’re giving companies a way to truly understand what they are working with so they can deploy LLMs with confidence.”
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