The Context Company
ActiveMonitor AI agents and understand user behavior
About
Understand user patterns and find silent failures in your AI agents. The Context Company helps teams analyze AI agent conversations to surface user behavior patterns, performance trends, and moments where agents struggle - so teams know what’s working, what’s not, and what to improve next. We turn raw conversations into structured signals: topic clustering, user feedback analysis, custom pattern tracking, and alerts. All alongside traditional observability like traces, tool calls, latency, and costs. Get started in less than 10 lines of code.
Founders · 2
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!
Launch
Full observability for AI agents, from bad tool calls, loops, and hallucinations to latency and cost, in 10 lines of code.
The Context Company launches an observability tool for AI agents that detects silent reasoning and tool-call failures, beyond traditional latency and cost metrics, with a developer dashboard and local debugging. It supports Vercel AI SDK, LangChain, and LangGraph, aims for quick setup, and offers onboarding within minutes for teams using those frameworks.
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