Agent Experience provides a full‑stack AI search platform that monitors every interaction an AI agent has with a product, capturing tool calls, errors, latency, and the agent’s reasoning.
Funding
Funding not disclosed
Founders
Product
Problem
Product teams cannot see how AI agents interact with their applications, so errors, tool call failures, and navigation friction remain invisible in traditional analytics. When agents fail silently, potential customers are diverted to competitors without the business realizing the loss.
Solution
Agent Experience offers a full‑stack AI search platform that monitors every step an AI agent takes within a product. The system captures tool calls, runtime errors, latency, and the agent’s decision reasoning, providing real‑time analytics on agent behavior and usage friction. By surfacing silent failures and quantifying their impact on conversion, the platform enables product teams to pinpoint and remediate issues that block AI‑driven traffic. It also generates actionable recommendations to improve product discoverability and usability for any AI agent, helping recover lost revenue from failed agent interactions.
Target Audience
Primary customers are SaaS product managers, developer platforms, and B2B services that rely on AI agents to discover, integrate, or transact with their offerings.
Features
- Automatic instrumentation that records each tool call, error, and latency metric during an agent’s session
- Visibility into the agent’s decision tree and reasoning, revealing why certain paths were taken or skipped
- Friction detection for install errors, documentation mismatches, and broken flows that cause silent agent failures
- Analytics dashboard showing agent navigation patterns, conversion impact, and revenue loss attribution
- AI‑driven suggestions for concrete product improvements to enhance agent success rates
- Real‑time alerts when agents encounter critical failures, enabling rapid remediation