Summary
Open-source LLM engineering platform for tracing, observability, prompt management, evals, experiments and human annotation.
Description
Langfuse brings LLM observability, prompt management, evaluations, experiments and human annotation into a connected workflow. It is open source, self-hostable and designed to help teams debug, monitor and improve LLM applications and agents.
Positioning
Open-source LLM observability and evaluation platform
Key facts
- HQ location
- Berlin, Germany
- Founded
- 2023
- Employee range
- 11-50
- Funding stage
- Seed
- Company type
- Private (Private / open-source commercial)
- Pricing model
- Licensing Open Source Usage Based (Open-core with cloud plans, usage-based/seat-based and self-hosting options)
- Last updated
Financials
- Revenue estimate
- Unknown / not publicly disclosed
- Valuation estimate
- Unknown
- Investments
- $4M seed (Lightspeed, YC, La Famiglia); funding not fully disclosed beyond seed
Relationships
- Target customers
- AI engineers, developers and teams building LLM applications and agents
- Key competitors
- LangSmith, Helicone, PromptLayer, Arize AI, Braintrust, Galileo
- Known customers
- Unknown / not comprehensively disclosed
Classification (raw research text)
- Core focus
- LLM observability and evaluation
- Core industry
- Enterprise AI Development
- Core category
- LLM observability
Shown verbatim from the research spreadsheet — deriving structured industry tags from this text is a future phase.
Segments, Industries & Certifications
- Segments