
Your users are telling your agent exactly why they churn! You’re not listening.
Hey YC! We’re Shubham and Parth, childhood friends, founders of Agnost AI.
TL;DR: Agnost AI reads every conversation your chat or voice agent has with your users. We show you what your users want, where they get frustrated, and why they leave.
The feedback hiding in your logs becomes discoveries, evals, and fixes ready to ship. We’re already processing over 1 million events every day and growing.
Try us out at agnost.ai
https://www.youtube.com/watch?v=gKyhf6rUELg
Traditional product analytics were built for clicks.
Observability was built for token costs, latencies, and deterministic errors.
But every product is rapidly moving from UI to conversation, and agent failures don’t look like traditional failures. The LLM returns 200 OK and says “sorry, I can’t do that.” The real failures are hiding in your conversations:
Today teams throw more evals at this. But evals only tell you whether you fixed something, not what to fix. You can’t write a test for a problem you haven’t discovered yet.
Install our skill: 3 lines of code, or point your OpenTelemetry exporter at us. Any LLM, any framework. Add any custom metadata like user tier, model versions, etc. We’re at: docs.agnost.ai
Every conversation becomes a signal: feature requests, bugs, frustration, churn risk, failed upgrades. Detected for your product, with the exact users & conversations behind each.
The insight becomes action: when hundreds of users rageprompt at your agent due to a specific bug, Agnost AI hands you the insight with the exact conversations behind it:
Your agent gets better every week.
Childhood friends, 8 years and counting.
Shubham: Youngest engineer on Cisco’s analytics team, First Hire at Formbricks, Wrote code in Bitcoin, OWASP, and the Linux Foundation.
Parth: IIT Madras CS (ranked 159 of 1.5M), built Spark pipelines at Microsoft, Led GPU tech at Infurnia (~$1M ARR).