| Description |
| Summary |
Open-source LLM engineering platform for tracing, observability, prompt management, evals, experiments and human annotation.
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| 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.
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| Positioning |
Open-source LLM observability and evaluation platform
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| Key facts |
| HQ location |
Berlin, Germany
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| Founded |
2023
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| Employee range |
11-50
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| Funding stage |
Seed
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| Company type |
Private
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| Pricing model |
licensing open source, usage based
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| Last updated |
Jun 21, 2026
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| Financials |
| Revenue estimate |
Unknown / not publicly disclosed
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| Valuation estimate |
Unknown
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| Investments |
$4M seed (Lightspeed, YC, La Famiglia); funding not fully disclosed beyond seed
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| Relationships |
| Target customers |
AI engineers, developers and teams building LLM applications and agents
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| Key competitors |
LangSmith, Helicone, PromptLayer, Arize AI, Braintrust, Galileo
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| Known customers |
Unknown / not comprehensively disclosed
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| Segments & Industries |
| Segments |
AI Workflows, AI Developer Tools, Knowledge & RAG, AI Quality & Observability, AI Governance & Risk, Analytics & BI
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