
The Context Company helps teams understand user behavior and catch silent failures in production AI agents. It analyzes conversations, traces, tool calls, latency, token usage, and costs to surface recurring user patterns, performance trends, and moments where agents struggle. Teams can use topic clustering, feedback analysis, custom pattern tracking, and alerts to turn production usage into clear priorities for improving agent reliability and product quality.