Langfuse Analysis: $4M Raised
What is Langfuse?
Langfuse is an open-source AI engineering platform for building and monitoring LLM applications. It combines tracing, prompt management, evaluations, and analytics for teams shipping AI products. The company says it joined ClickHouse in January 2026 and operates from Berlin and San Francisco.
Location
Berlin, Germany
Employees
11-50
Founded
2022
Investors
- Lightspeed Venture Partners
- La Famiglia
- Y Combinator
Product Features & Capabilities
- LLM Tracing, Prompt Management, Evaluation, Manual Annotation, Datasets, Metrics, Python SDK, JS/TS SDK, OpenAI SDK, Langchain, Llama-Index, Litellm, Dify, Flowise, Langflow, Vercel AI SDK, Instructor, Mirascope, API
Pricing
- Hobby Plan: Free, 50k observations/month, 30 days data access, 2 users, community support.
- Pro Plan: $59/month, 100k observations/month, unlimited data access and users, email/chat support.
- Team Plan: $499/month, 100k observations/month, custom SSO, fine-grained RBAC, Slack support.
- Enterprise Plan: Custom pricing, includes everything in Team, uptime SLA, dedicated support engineer.
How much Langfuse raised
Seed - $4 million
November 7, 2023Lead Investor: Lightspeed Venture Partners, La Famiglia, Y Combinator
Market Focus
Langfuse primarily focuses on the artificial intelligence and machine learning industry, specifically in the area of large language model (LLM) engineering and development.
Business Model
Open-core model with cloud services; revenue from usage metrics and analytics.
Competitors Overview
Langfuse operates in the LLM engineering platform market, and its main competitors include:
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Giskard: Giskard focuses on providing tools for testing and validating machine learning models. Its advantage lies in its user-friendly interface and strong emphasis on model performance monitoring.
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Grok-1: This platform offers a comprehensive suite for LLM development, including prompt management and evaluation tools. Grok-1 is noted for its integration capabilities with various AI frameworks, making it versatile for developers.
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Ferret: Ferret specializes in observability and debugging for LLM applications. Its notable advantage is its real-time analytics, which helps developers quickly identify and resolve issues in their models.
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Literal AI: This platform is designed for collaborative development of LLM applications, providing tools for team collaboration and project management. Its strength lies in its collaborative features that enhance team productivity.
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LangSmith: Similar to Langfuse, LangSmith offers LLM observability and analytics. However, it is more focused on enterprise solutions, which may come with higher costs and cloud reliance.
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Lunary: Lunary provides a complete platform for LLM developers, similar to Langfuse, but emphasizes a more extensive feature set for observability and debugging.
These competitors differ in their specific focus areas, integration capabilities, and user experience, which can provide advantages depending on the specific needs of developers in the LLM space.
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