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Kubit

Bridge the gap between product analytics and LLM observability.

AI Toolsllm-observabilityproduct-analyticsai-agentsdeveloper-toolsmcplangfuseopentelemetry
Kubit screenshot

About

Kubit is a product analytics platform built for AI engineers that maps user behavior, intent, and sentiment directly to LLM traces. It integrates with major observability tools like Langfuse, LangSmith, and OpenTelemetry, and feeds actionable context into coding environments like Claude Code and Cursor via MCP. This allows developers to detect hallucinations, debug agent issues, and optimize performance without leaving their editor.

Problem

Developers building AI agents must manually stitch together clickstream data, prompt versions, and raw logs across multiple tools to understand why users are frustrated, with no single view connecting user behavior to agent reasoning.

For

AI product engineers building LLM-powered applications and agents

How it works

Kubit maps user behavior and sentiment to LLM traces and feeds that context directly into coding environments like Claude Code and Cursor via MCP, enabling in-editor debugging and auto-fixes.

Business model

unknown

Status

launched

Company

Kubit

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