
Patronus AI, a company specializing in LLM (Large Language Model) governance tools, has secured $17 million in a Series A funding round. The funding was led by Notable Capital, with participation from Lightspeed Venture Partners and other investors. Patronus AI aims to tackle AI hallucinations and copyright violations, as well as help developers prevent personal information leaks. The company, founded by former Meta machine learning experts Anand Nandakumar and Rebecca Qian, offers an automated evaluation and security platform designed to detect LLM mistakes at scale. The new capital will be used to fuel enterprise adoption and enhance the reliability of AI systems. The news was reported by TechCrunch and VentureBeat, with Glenn Solomon expressing excitement about the investment.
Patronus AI Forges Ahead in LLM Governance Solutions as Market Uptake Surges #AI #artificialintelligence #Investment #llm #machinelearning #PatronusAI https://t.co/qX8pYTs4wj https://t.co/6eFNJiscLg
Patronus AI Raises $17M to Detect LLM Mistakes at Scale https://t.co/XPBSjJZKbr @PatronusAI #datanami #TCIwire
Lumos helps companies manage their employees’ identities — and access: https://t.co/SypT8JUZNQ by TechCrunch #infosec #cybersecurity #technology #news






