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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.
The Context Company helps teams understand how users interact with AI agents by detecting frustration, analyzing feedback, clustering topics, and identifying silent failures. It provides in-workspace context and alerts to fix issues quickly, with a lightweight setup described as five lines of code.
Product monitors and analyzes user interactions with AI agents to reveal user intent, pain points, and failures. It automatically detects frustration, clusters topics from conversations, analyzes thumbs-up/thumbs-down feedback, and surfaces silent failures where the agent provides incorrect or misleading responses. It delivers production context and alerts (Slack, Discord, email) and offers a search interface to query agent runs in plain language, plus a range of dashboards (recaps, trend analysis, and pattern monitoring) and 5-line code quick setup for integration with existing AI stacks.
Who it’s for: Teams shipping and maintaining AI agents who need insights into user behavior and agent performance, including product and engineering teams deploying AI copilots, chatbots, or conversational AI in production.
Pricing page details multiple paid tiers (Developer, Pro, Custom) and a free tier, indicating product-market fit with traction signals and ongoing monetization; mentions of HIPAA/BAA and SOC 2 imply enterprise focus and formalized compliance, suggesting growth and enterprise sales activity.
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!
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.
We give AI agents realtime web context.
We help products get mentioned in ChatGPT.
