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Press & Media

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Company Facts

Langfuse is the open source LLM engineering platform, now part of ClickHouse. Teams use Langfuse to trace, evaluate, and improve LLM applications and AI agents in production. The platform provides:

  • Observability & Tracing β€” Production tracing, metrics, and analytics for LLM applications
  • Prompt Management β€” Version control and deployment of prompts with integrated monitoring
  • Evaluations β€” LLM-as-a-Judge evaluations, datasets, and structured evaluation processes
  • Collaboration β€” Shareable views, custom dashboards, and team collaboration features

Company

  • Founded: 2023
  • Acquired by ClickHouse: January 2026 (announcement)
  • Headquarters: Berlin, Germany (Product & Engineering) and San Francisco, CA (GTM)
  • Y Combinator: Winter 2023 batch (W23)
  • Team Size: 16+ full-time employees
  • Open Source License: MIT
  • Public Company Handbook: langfuse.com/handbook

Funding History

  • $4M Seed Round (November 2023) β€” Led by Lightspeed Venture Partners, General Catalyst (La Famiglia), and Y Combinator
  • Acquired by ClickHouse (January 2026)

Why does Langfuse exist?

  • Langfuse exists to accelerate the deployment of reliable, safe, explainable and cost-effective AI applications and agents.

  • AI will create meaningful value for society and drive economic growth and we are still in the early days of seeing this impact. Over time, every successful company will be an AI company, with AI at the core of its strategy, value creation, and business processes. Most value creation will happen at the application-layer, split between incumbents and AI-native startups.

We're building an integrated and open tooling layer to help teams with:

  • Visibility & explainability β€” Langfuse Observability (production tracing, metrics, and analytics)
  • Collaboration across disciplines β€” Prompt management, shareable views & custom dashboards
  • Evaluation & data operations β€” Langfuse Evaluations (evals, datasets, labeling)

Langfuse is vendor-neutral, based on OpenTelemetry, and available as cloud or self-hosted at production scale.

Why do customers choose Langfuse?

Customers choose Langfuse because it is:

  • The most used open-source LLM Engineering platform (blog post)
  • Model and framework agnostic with 80+ integrations
  • Built for production and scale, backed by ClickHouse
  • Designed for complex agents and multi-step workflows
  • A complete toolbox for AI Engineering
  • Incrementally adoptable β€” start with one feature and expand to the full platform over time
  • API-first β€” all features are available via API for custom integrations
  • Based on OpenTelemetry for interoperability
  • Easy to self-host

Langfuse is the most widely adopted LLM Engineering platform:

  • 26,133 GitHub stars
  • 50M+ SDK installs per month
  • 6M+ Docker pulls
  • Trusted by 19 of the Fortune 50 and 63 of the Fortune 500

Companies who trust Langfuse:

Canva logoKhan Academy logo

Key Milestones

A more detailed timeline is available in our handbook.

2023

  • January: Joined Y Combinator W23 batch, moved to San Francisco
  • August: Public launch as open source project β€” Product Hunt Product of the Day
  • November: Raised $4M seed round led by Lightspeed Venture Partners, La Famiglia, and Y Combinator; Reached 1,000 GitHub Stars

2024

  • January: Launched first version of Prompt Management feature
  • April: Langfuse 2.0 launch β€” "The LLM Engineering Platform" with evaluations, datasets, and playground. Product Hunt Product of the Day again
  • December: Langfuse v3 β€” Major infrastructure upgrade, migrating the core data layer from PostgreSQL to ClickHouse

2025

  • February: Opened San Francisco office
  • April: Reached 10,000 GitHub Stars
  • May: Launch Week 3 with full-text search, saved/shared table views, and custom dashboards
  • June: Open sourced all product features under MIT license (LLM-as-a-Judge, playground, experiments, annotations)
  • June–August: Shipped OpenTelemetry-based Python SDK v3 and JS SDK v4
  • August: Featured in Handelsblatt covering the Langfuse story and journey
  • October: Launch Week 4 with advanced filtering, team collaboration features, and Mixpanel integration

2026

  • January: ClickHouse acquired Langfuse β€” full team joined ClickHouse to keep building Langfuse with more resources behind performance, reliability, and enterprise readiness
  • March: Shipped observations-centric data model β€” 10x+ dashboard performance improvement, laying the groundwork for Langfuse Fast Preview (Langfuse v4)

The Team

The Langfuse team is part of ClickHouse and continues to build the Langfuse platform from Berlin and San Francisco.

NameRoleSocial Links
Marc KlingenCo-Founder & CEOTwitter, LinkedIn, GitHub
Max DeichmannCo-Founder & CTOTwitter, LinkedIn, GitHub
Clemens RawertCo-Founder & COOTwitter, LinkedIn, GitHub
Marlies MayerhoferFounding EngineerTwitter, LinkedIn, GitHub
Hassieb PakzadFounding EngineerTwitter, LinkedIn, GitHub
Steffen SchmitzBackend EngineerLinkedIn, GitHub
Jannik MaierhΓΆferGrowth EngineerTwitter, LinkedIn, GitHub
Felix KrauthGrowthTwitter, LinkedIn, GitHub
Akio NuernbergerEnterprise & PartnershipsTwitter, LinkedIn
Nimar BlumeProduct EngineerTwitter, LinkedIn, GitHub
Valeriy MeleshkinBackend EngineerLinkedIn, GitHub
Lotte VerheydenProduct Marketing EngineerLinkedIn, GitHub
Leonard WoltersOpsLinkedIn, GitHub
Annabell SchΓ€ferProduct Marketing EngineerTwitter, LinkedIn, GitHub
Ben BachemProduct EngineerLinkedIn, GitHub
Mark SalpeterProduct EngineerTwitter, LinkedIn, GitHub

Media Assets

Logos

Official Langfuse logos, wordmarks, and downloadable brand packages are on the Brand Assets & Guide page.

2023: Founders during Y Combinator W23

Founders during Y Combinator W23 batch in San
Francisco

2025: Team Offsite in Portugal

Team offsite to Portugal in
2025

2026: Founder team

Founder team in 2026

Founder team in 2026

2026: Clemens

Clemens Rawert, Founder in 2026

2026: Marc

Marc Klingen, Founder in 2026

2026: Max

Max Deichmann, Founder in 2026

User Stories

Learn how leading companies use Langfuse to build production-grade AI applications.


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