Somantic

Somantic turns the conversation logs of an AI product into structured data, so teams can count failures, track what users ask for and decide what to fix next. It is meant for product and AI teams running chat assistants in production.

You can tag any message, response or whole conversation as a semantic event, and Somantic then finds and counts similar cases across thousands of sessions. Those events can be broken down and placed in funnels the way a standard product analytics tool handles clicks.

The focus is on spotting hallucinations, vague answers and dead ends, and on mining feature requests that users type to the assistant. The company positions it next to LLMOps tools, which handle debugging, as the layer for product decisions.