Langfuse
Open-source AI engineering and observability platform focused on production tracing, evaluations, prompt management, and experimentation, with an emphasis on data portability, OpenTelemetry support, and self-hosting.
Company profile
Overview
Langfuse sells an open-source platform for tracing, evaluating, and improving LLM and AI agent applications.
Langfuse is an open-source AI engineering platform for tracing, monitoring, prompt management, experimentation, and evaluation of LLM and agent applications. It is designed for developers and product teams building production AI systems, with both cloud and self-hosted deployment options. The product is offered as a software platform rather than a consulting-led service.
At a glance
Key facts
- HQ location
- Berlin, Germany
- Founded
- 2022
- Employee range
- 11-5020+ team members listed on the company About page
- Funding stage
- Seed
- Company type
- PrivatePrivate / open-source commercial
- Last updated
- Pricing model
- Custom QuoteFreemiumSubscriptionUsage BasedCloud pricing with a free Hobby plan and paid Core, Pro, and Enterprise plans; self-hosted deployment is also available. Paid plans include included usage units with overage pricing, and Enterprise adds custom support and security options.
Business context
Financials
- Revenue estimate
- Unknown / not publicly disclosed
- Valuation estimate
- Unknown
- Investments
- Founded by Marc Klingen, Max Deichmann, and Clemens Rawert after Y Combinator W23. The company states it was backed by Lightspeed Venture Partners, General Catalyst, and Y Combinator, and later said it joined ClickHouse in January 2026.
Market context
Relationships
- Target customers
- Developers, ML/AI engineers, and product teams building and operating LLM applications and AI agents, especially teams that need observability, evaluation, and prompt workflow tooling at production scale.
- Key competitors
- LangSmith, Helicone, Arize AI, Humanloop, WhyLabs
- Known customers
- Canva
Source context
Classification (raw research text)
- Core focus
- Open-source LLM and agent observability, evaluation, and prompt management
- Core industry
- Enterprise AI Development
- Core category
- AI engineering platform
Shown verbatim from the research spreadsheet — deriving structured industry tags from this text is a future phase.
Market taxonomy