[PROBLEM]
Traditional observability tells you if the LLM is fast. Product analytics tells you if the user clicked. When an AI feature fails, you are left opening six tabs trying to match raw JSON traces to clickstream events. You can't fix what you can't see together.
[SOLUTION]
Product Analytics for Agents and Users
Enrich Traces with Intent and Sentiment
Analyze prompts, tool calls, and model output with full context, without needing expensive LLM evals.
Measure AI by User Outcomes
Pinpoint exactly where and how hallucinations impact the customer engagement and retention.
Headless for Coding Agents
Context for the Maker
Feed Claude Code the exact behavioral insights it needs to debug and fix agent and UX issues natively.
Analytics as the Verifier
Go beyond unit tests. Embed product analytics into your AI workflows via MCP and automate verification in your agent loops.
Bring Your Own Warehouse
Zero Copy
Your PII and sensitive user data never leave the warehouse. Stream spans via OTel, pull events from your CDP or query your warehouse directly.
Join Everything
Breakdown your telemetry silos. Map AI actions to user activities, A/B tests, campaigns, and business dimensions to see exactly what drives outcomes.
[FEATURES]
Tie Performance to Outcomes
Correlate infrastructure metrics like P95 latency and token usage directly with DAU and retention.
Track User-Agent Funnels
Pinpoint exactly where an agent’s hallucination or bad tool calls break the conversion flow.
Map AI Journeys
Track re-prompts, rage clicks, intent, and sentiment to uncover the UX dead-ends that APMs miss.
Build Granular Cohorts
Segment users using complex conditions that span both agent interactions and user behavior.
[HOW IT WORKS]
Built for Your Stack. Not Ours.
Open Standards
Integrate natively via OTel, CDP, and SQL. No proprietary black boxes and zero vendor lock-in.
SDK Optional
Ingest agent traces via OTel. Pull clickstream events from your CDP, or use our OTel bridge for Sentry/Embrace.
Pipeline Control
Sample, filter, and mask sensitive data. Change extraction and data model on the fly without reprocess.
Warehouse-Native
Connect agent actions to user behavior and business dimensions, all inside the warehouse of your choice.
Trusted by Enterprises
"Not only are we providing self-service capabilities with Kubit, but it's also a better experience for our Data Analysts. They now have much faster turnaround times."
Miro
Felipe Leite | Data Product Manager
"Kubit is so quick and user-friendly. I can just filter by platform and release to immediately get my questions answered."
Vix
Isabella Poleo | Senior Product Analyst
"With Kubit, we're able to explore dynamic visuals like user paths and funnels, which are incredibly powerful. Previously, we had to write complex SQL to get there, and even then, performance was a challenge."
GameChanger
Pratik Kadam | Backend Data Analyst
"With Kubit, if I have a question pop into my mind about user behavior, within a minute or two, I can get an answer."
Serko
Randall Britten | Senior Data Scientist
[CLOSE THE GAP]
LangSmith and Langfuse optimize in the dark. Connect agent traces to user behavior, feed the answers straight into your coding agent, and build an AI product that sticks.