Kubit

Kubit is an agent analytics platform that maps user behavior, intent, and sentiment directly to LLM traces, enabling developers to debug and optimize AI agents within their coding environment. Founded by a team with backgrounds in product analytics and AI, the company initially launched as a product analytics tool before pivoting to focus on the emerging AI agent market. In April 2022, Kubit raised an $18 million Series A round led by Insight Partners, bringing its total funding to $22.5 million, as reported by TechCrunch.

The platform integrates with major LLM observability tools such as Langfuse, Braintrust, LangSmith, and Arize, and supports OpenTelemetry for data ingestion. Kubit differentiates itself by offering conversation intelligence that extracts intent, sentiment, and resolution from traces without sampling, and by embedding directly into coding agents like Claude Code and Cursor via the Model Context Protocol (MCP). The company's customer base includes notable names such as Samsung, Pluto TV, Miro, Thrive, Lyst, and Skyscanner, as displayed on its website.

As of mid-2026, Kubit has not publicly disclosed its revenue or headcount. The company operates in a competitive landscape that includes established observability platforms like Datadog and New Relic, as well as LLM-specific tools like Langfuse and Arize. Kubit's recent focus on agent analytics and self-healing capabilities positions it at the intersection of product analytics and LLM observability, a niche that is gaining traction as enterprises deploy more AI agents in production. The company's ability to provide actionable context directly to coding agents is a key differentiator, but it faces challenges in scaling its platform and maintaining customer trust in an evolving market.