Agnost AI

What it does

Agnost AI continuously analyzes production conversations between users and AI agents. It identifies where users get stuck, frustrated, or fail to convert, then surfaces these patterns as categorized intents (e.g., bug reports, feature requests, churn risk). The platform can automatically open reviewed pull requests to fix the agent, which a developer can review and merge.

Who it is for

Agnost AI is built for teams deploying AI agents in production—whether for customer support, sales, or internal tools. It is particularly valuable for engineers and product managers who want to move beyond synthetic evals and catch real-world failures. The tool works with any LLM and framework, and integrates via OpenTelemetry with a 2-minute setup.

Why it matters

Traditional agent evaluations (evals) often miss failures that occur only in production conversations. Agnost AI fills this gap by turning raw conversations into actionable signals. Early customers report meaningful improvements: Corgi Insurance saw voice BDRs book more meetings after surfacing patterns; Odysser discovered 1,247 feature requests from user chats; Lopus AI merged 16 out of 18 autonomous PRs fixing bugs found by Agnost. The tool helps teams iterate faster and ship more reliable agents.

Launch signal

Agnost AI launched in Y Combinator's S26 batch and is backed by YC. The website lists logos of customers including Google, Exa, Corgi Insurance, Orchid, Lopus AI, Odysser, and Comp AI. The platform offers a free tier (up to 1,000 events/month) to get started quickly.

Brand and naming

The name 'Agnost AI' is short and memorable, but its meaning ('without knowledge' in Greek) is counterintuitive for a company that analyzes conversations to extract insights. The domain agnost.ai is clean and available, aiding memorability. The tagline and website clearly position it as a tool for catching agent failures and extracting user feedback, but the name's negative connotation may confuse potential customers.