Monitor AI agents and understand user behavior
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.
Total raised
$500K
Last stage
Pre-seed
Investors
Arman Kumaraswamy
Studied CS+Math at UF. Previously engineered at Mintlify, where he optimized the public-facing AI agent and cut failure rates by 82%.
LinkedInRohil Agarwal
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!
LinkedInNo applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.