Introducing Agnost AI (YC S26): Bridging the Gap Between Evals and Reality

Agnost AI is designed to identify the critical agent failures that your standard evaluation suites consistently overlook. Backed by Y Combinator, Agnost AI ensures your AI agents don't just pass tests—they actually work for your users.

By continuously monitoring live production dialogues, Agnost AI pinpoints exactly where users encounter friction, express frustration, or abandon the conversion funnel. It then transforms these high-impact failure patterns into actionable, reviewed fixes.

Your evals pass, but your users are still struggling. Get real production signals instead.

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🚀 Proven Impact: Voice of the Customer

Agnost AI is already helping engineers and founders optimize their agentic workflows:

"In collaboration with Agnost AI, we have integrated comprehensive observability features into MCP Toolbox for Databases." — Yuan Teoh, Software Engineer, Google

"Agnost AI is very useful in tracking analytics and error rates." — Ishan Goswami, Member of Technical Staff, Exa

"Our Voice BDRs got meaningfully better at booking meetings once Agnost AI surfaced the patterns behind the conversations that actually converted." — Ana Paula Olaiz, Founding GTM, Corgi Insure

"Agnost AI showed me users were asking for features we don't even have. All that feedback was just sitting inside conversations we already had." — Merouane Zouaid, CTO, Odysser (Surfaced 1,247 feature requests)

"Agnost AI is how we make our agents better." — Lewis Carhart, CEO, Comp AI

"Agnost AI spotted bugs buried in our agent's conversations and opened PRs to fix them overnight." — Aamish Ahmad Beg, Co-Founder CEO, Lopus AI (16/18 autonomous PRs merged)

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🛠️ How It Works: From Signal to Ship

Agnost AI transforms silent failures into deployed improvements. The logic can be summarized as: $\text{Agent Quality} = \int (\text{Production Signal} + \text{Automated Fixes}) \, dt$

The Workflow Pipeline

Getting Started Checklist

• Connect your production data stream.
• Ingest real-time chat and voice logs.
• Categorize failure patterns (e.g., repeated retries).
• Review and merge autonomous PRs.

Example Failure Signal

When Agnost AI detects a pattern, it generates a structured insight similar to this:

{
  "failure_type": "workflow_break",
  "pattern": "User attempts to upgrade plan but agent loops on payment method",
  "impact": "High - Conversion Drop",
  "suggested_fix": "Update prompt to handle Stripe API timeout explicitly",
  "status": "PR_OPENED"
}

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💳 Pricing Plans

Whether you are a solo founder or a massive organization, there is a tier for your scale.

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❓ Frequently Asked Questions

01. What exactly is Agnost AI? It is a tool that monitors your live production chat and voice interactions to find where users are getting stuck. Instead of just showing you a graph, it actually opens reviewed PRs to fix the underlying issues in your agent.

02. How does this differ from standard agent observability tools? While typical observability tools tell you that something went wrong, Agnost AI tells you why it happened across patterns and provides the actual code fix to ensure it doesn't happen again.