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Patronus AI debuts Percival to help enterprises monitor failing AI agents at scale
Patronus AI introduces Percival, a real-time monitoring platform that helps enterprises detect, debug, and prevent failures in autonomous AI agents to improve reliability, safety, and scalability.
“Percival is the industry’s first solution that automatically detects a variety of failure patterns in agentic systems and then systematically suggests fixes and optimizations to address them,” said Anand Kannappan, CEO and co-founder of Patronus AI, in an exclusive interview with VentureBeat. Enterprise adoption of AI agents—software that can independently plan and execute complex multi-step tasks— has accelerated in recent months, creating new management challenges as companies try to ensure these systems operate reliably at scale. “What’s challenging is that systems are becoming increasingly autonomous,” Kannappan noted, adding that “billions of lines of code are being generated per day using AI,” creating an environment where manual oversight becomes practically impossible.
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