Monitor AI agents and understand user behavior
Teams lack visibility into AI agent conversations and user behavior, making it hard to detect silent failures and improve agent performance.
A monitoring and analytics platform that converts AI agent conversations into structured signals (clustering, feedback analysis, pattern tracking, alerts) alongside observability metrics like traces, tool calls, latency, and cost.
Product and engineering teams building and operating AI agents who need to monitor performance and understand user behavior.
Cofounder at The Context Company (Monitoring for AI agents) I've been in love with startups since I was in high school :) Prev studied CS+Math at UF, and engineered at Mintlify, Apten, RevisionDojo, and Solace Health
What is up! Previously studied EECS + Business at UC Berkeley M.E.T. and worked on Gmail Intelligence at Google, where I built models powering intent detection for 26B+ daily emails. Now building The Context Company, where we are powering developers to ship AI agents they can trust. I'm excited about solving context engineering 🙃 Oh, and I take one selfie every day!





