Agnost AI
Analyzes production conversations to detect and fix AI agent failures.

About Agnost AI
Agnost AI: Catch agent failures your evals miss
Agnost AI is a platform backed by Y Combinator that continuously analyzes real production chat and voice conversations to identify where users get stuck, frustrated, or fail to convert. It catches agent failures that standard evaluations miss and turns high-impact patterns into reviewed fixes by opening pull requests (PRs) to improve your agent.
Key Features
- Automated Failure Detection: Generates failure categories from real conversations, including broken workflows, repeated retries, setup friction, and churn risk.
- Automatic Agent Improvements: Spots bugs buried in conversations and automatically opens PRs to fix them overnight.
- Universal Compatibility: Works with any LLM and any framework, featuring a 2-minute setup that is OpenTelemetry native.
- Signal Extraction: Provides intent and sentiment signal extraction alongside natural language data queries.
Use Cases
- Improving Conversion Rates: Surfacing patterns behind conversations that convert to help Voice BDRs book more meetings.
- Feature Request Extraction: Identifying and surfacing user feature requests directly from existing chat logs.
- Error Tracking: Tracking analytics and error rates to monitor agent performance.
Pricing
- Starter: Free. Includes up to 1,000 messages per month, 7-day data retention, intent and sentiment signal extraction, and automatic agent improvements.
- Pro: $499 per month. Includes up to 100,000 messages per month, 90-day data retention, priority support, and access to the Founders Slack channel.
- Enterprise: Custom pricing. Includes custom data retention, audit logs, custom SLAs and SLOs, custom improvement workflows, and unlimited time with the founders.
Getting Started
Website: https://agnost.ai
Agnost AI provides teams with the observability and automated resolution needed to identify silent production failures and continuously ship improvements to their AI agents.
