Backed by Y Combinator
why agnost
Your evals pass. Production still fails. #
Agnost finds the missed failures in real conversations and turns them into fixes your team can review.
“In collaboration with Agnost AI, we have integrated comprehensive observability features into MCP Toolbox for Databases.”
“Agnost AI is very useful in tracking analytics and error rates.”
“Our Voice BDRs got meaningfully better at booking meetings once Agnost AI surfaced the patterns behind the conversations that actually converted.”
“Agnost AI showed me users were asking for features we don't even have. I had no idea. All that feedback was just sitting inside conversations we already had.”
“Agnost AI is how we make our agents better. We see what to improve, ship it, and move faster. Simple as that.”
“Agnost AI spotted bugs buried in our agent's conversations and opened PRs to fix them overnight.”
INTENTS·SIGNALS·IMPROVEMENT
From silent production failures to the fix that ships. #
Works with any LLM, any framework. 2-min setup. OpenTelemetry native.
See the failures your evals missed.
The moment you connect, Agnost AI reads real production conversations and generates the failure categories that matter to your product: broken workflows, repeated retries, setup friction, churn risk, and more.
Start free. #
Scale when you're ready.
The earlier you start ingesting conversations, the smarter your agent gets, so connect today.
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Intent & sentiment signal extraction
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Automatic agent improvements
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Failure detection & resolution
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Natural language data queries
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Up to 1,000 messages / mo
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7-day data retention Best for teams shipping agents that need to get better fast.
- Everything in Starter
- Up to 100,000 messages / mo
- 90-day data retention
- Priority support
- Founders Slack channel
Best for growing teams scaling agent volume without a sales call.
- Custom data retention
- Audit logs
- Custom SLAs & SLOs
- Custom improvement workflows
- Priority feature requests
- Founders Slack channel
- Unlimited time with the founders
Best for organizations running agents at scale.
Let's chat frequently Asked Questions