Kubit

Kubit is a product analytics platform built specifically for AI-powered products. It connects the technical traces of your AI agent (LLM calls, tool usage, latency) with the behavioral data of your users (clickstream, events, conversions). Instead of jumping between six different dashboards to figure out why users are dropping off, Kubit shows you the full picture in one place. You can see exactly where a hallucination caused a user to rage-click, or why a re-prompt led to a conversion.

Kubit works with your existing infrastructure. It ingests agent traces via OpenTelemetry (OTel) and pulls user events from your CDP or data warehouse. You can enrich traces with intent and sentiment analysis without expensive LLM evals. The platform lets you correlate infrastructure metrics like P95 latency and token usage directly with DAU and retention. It also offers a headless mode for coding agents like Claude Code, feeding behavioral insights directly into your development workflow via MCP. You can build granular cohorts that span both agent interactions and user behavior, and track funnels that show exactly where an agent's bad tool call breaks the conversion flow.

Kubit is ideal for product managers, data analysts, and AI engineers who need to understand how their AI features actually perform in the wild. Use it to debug agent failures, optimize prompts based on real user behavior, and measure the business impact of AI changes. It's warehouse-native, so your sensitive data never leaves your environment. Enterprises like Miro, Samsung, and Paramount trust it to connect AI actions to user outcomes.