Agnost AI launches analytics tool to extract user frustration signals from agent chats

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Y Combinator-backed startup Agnost AI, founded by Shubham and Parth, has launched a product analytics platform designed for teams building chat and voice AI agents. Unlike traditional web analytics, Agnost focuses on behavioral signals in conversations — such as users repeating requests, correcting the agent, or abandoning sessions — to surface product insights that clicks and funnels cannot capture. The platform ingests conversation data via SDKs or OpenTelemetry, clusters messages into evolving intent categories, and flags patterns like hidden feature requests or recurring frustrations. In one case, an AI video editing company used Agnost to discover that around 70 users were requesting an auto-subtitle feature through varied phrasings across sessions, leading the team to build it. The startup is currently processing roughly one million messages per day, is SOC 2 Type 1 compliant, and offers a free Starter tier alongside a $499/month Pro plan.

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