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Patronus AI secures $17M to tackle AI hallucinations and copyright violations, fuel enterprise adoption
Patronus AI raises $17M to automatically detect language model flaws like hallucinations, copyright violations, and safety risks at scale.
Founded by former Meta machine learning (ML) experts Anand Kannappan and Rebecca Qian, Patronus AI has developed a first-of-its-kind automated evaluation platform that promises to identify errors like hallucinations, copyright infringement and safety violations in LLM outputs. Join us as we return to NYC on June 5th to engage with top executive leaders, delving into strategies for auditing AI models to ensure fairness, optimal performance, and ethical compliance across diverse organizations. While a handful of other startups like Credo AI, Weights & Biases and Robust Intelligence are building tools for LLM evaluation, Patronus believes its research-first approach leveraging the founders’ deep expertise sets it apart.
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