Foundation Models & Agent Frameworks · B2B SaaS Provider
Langfuse
Open-source platform for production LLM observability and evaluation.
Available information varies by company and source.
Profile record updated:
Company facts
- Entity type
- COMPANY
- Founded
- 2023
- Headquarters
- Germany
- Company size
- 10–49
- Market cluster / sector
- Foundation Models & Agent Frameworks
- Market role
- B2B SaaS Provider
- Official website
- langfuse.com
What Langfuse does
Langfuse operates a commercial open-source software model centred on production LLM operations. It distributes an MIT-licensed core platform to drive adoption, community trust and self-hosted deployments, then converts production usage into revenue through a managed cloud offering, paid plans, and enterprise editions with additional capabilities and support. The product creates value by consolidating tracing, monitoring, prompt management, evaluation and debugging into a single workflow for AI engineering teams.
Category differentiation
Langfuse is not a foundational model provider or a general-purpose LLM vendor. It is infrastructure software for observing, evaluating and managing production LLM applications.
Strategic context
AI-supported assessment from the existing company research; distinguish interpretation from sourced facts.
Langfuse is a B2B software company that provides an open-source LLM engineering platform for teams running production AI applications. Its core product covers tracing, monitoring, prompt management, evaluation, experimentation and human-in-the-loop workflows for LLM systems. The platform is available as self-hosted software and as Langfuse Cloud, a managed service, and it is built for engineering teams that need observability, debugging and performance control across high-volume AI workloads. The company monetises through a commercial open-source model. The MIT-licensed core can be self-hosted for free, while paid revenue comes from managed cloud usage, higher-tier subscriptions, and enterprise-grade editions and support. Its direct customers are machine learning engineers, AI platform teams, developers building LLM applications, and enterprise technical teams responsible for reliability, cost control and governance. Langfuse was acquired by ClickHouse in January 2026 and continues to operate under that parent relationship.
Company news briefing
Briefing updated:
Langfuse, operating within the ClickHouse ecosystem following its acquisition, continues to advance its open-source LLM observability and production evaluation capabilities. Recent technical deployments highlight the platform's utilization of ClickHouse infrastructure for trace and metrics analytics, complemented by the release of Langfuse CLI 1.0 and a new evaluator template gallery. Furthermore, industry analyses position Langfuse alongside other observability tools as agentic AI scales in customer service and scientific prompt A/B testing pipelines.
Business model & monetisation
Langfuse monetises via a commercial open-source model. The self-hosted MIT-licensed core is free, while Langfuse Cloud is sold as a fully managed SaaS product using subscription tiers plus usage-based billing. Revenue also comes from higher-limit Pro plans and enterprise or self-hosted enterprise editions that package advanced features, support and commercial terms for larger organisations.
- Managed cloud platform
- Subscription plus usage-based billing
- Pro paid plans
- Software subscription
- Enterprise self-hosted edition
- Enterprise software licensing
- Support and enterprise commercial terms
- Service Fee
Products & capabilities
No products with linked sources are available in this view.
Unlock Full Intelligence Profile for Langfuse
Get unlimited access to corporate ownership, historical M&A transactions, verified tech stack telemetry, and live market signals in the interactive Knowledge Graph.
Verified Ownership & Corporate Hierarchy
Complete corporate hierarchy traversal, shareholder cap table history, and parent holding links sourced from regulatory filings.
360° Tech Stack & Vendor Telemetry
Technical header bidding configurations, sellers.json registry nodes, CMP disclosures, and direct programmatic supply chains.
Live Market Signals & Executive Briefings
Continuous 24/7 monitoring of material M&A deals, executive shifts, product rollouts, and hiring trends across peer entities.
Competitors & alternatives
Track competitor shifts
Receive automated telemetry on strategic moves, acquisitions, and market share shifts across Langfuse's competitive landscape.
Enterprise observability and analytics SaaS for complex cloud environments.
Open-source observability platform with cloud and enterprise subscriptions.
Enterprise platform for data and AI observability.
Open-source observability and APM platform for engineering teams.
Agent engineering software for building and operating AI agents.
Side-by-side comparisons
Recent recorded signals
Dates refer to the source publication. Older entries are historical context, not evidence of a new event.
See which projects drive your usage
Recorded impact score: 3/5
A new chart shows your organization's units over time, grouped by project or type, with a CSV export. On Langfuse Cloud it is on the Billing page; self-hosted deployments get a new Usage page.
Langfuse CLI 1.0 and new evaluator features
Recorded impact score: 3.5/5
Langfuse CLI 1.0 released, along with new evaluator template gallery and reusable evaluators for production evaluations.
Deploying Langfuse Open-Source LLM Observability
Large Language Models (LLM) & AI · Recorded impact score: 2/5
This technical guide explains how to deploy Langfuse, an open-source observability platform for LLM applications, using Docker Compose. The deployment uses PostgreSQL for metadata, ClickHouse for trace and metrics analytics, Redis for cache/queueing, and S3-compatible object storage for media/exports, with Traefik and Let's Encrypt providing TLS. The article includes required prerequisites (Linux server 4 vCPU / 16GB RAM, Docker + Docker Compose, domain A record), step-by-step environment and docker-compose configuration, first-run setup (create organization/project and API keys), and a test-trace example using the Langfuse SDK and an OpenAI-compatible client. Publication date: 2026-08-12.
- Langfuse is an open-source observability platform for LLM applications that traces prompts/responses, tracks token usage and cost, and provides debugging analytics.
- The guide deploys Langfuse via Docker Compose using Traefik (TLS), PostgreSQL (metadata), ClickHouse (trace/metrics analytics), Redis (cache/queue), and S3-compatible object storage.
Explore company relationships
Questions about Langfuse
What is Langfuse?
Langfuse is an open-source LLM engineering platform for tracing, monitoring, prompt management and evaluation of production AI applications.
Who uses Langfuse?
Its users are machine learning engineers, developers, AI platform teams, SRE teams and enterprises operating production LLM systems.
How does Langfuse make money?
It monetises through Langfuse Cloud, paid subscription tiers, usage-based pricing, and enterprise editions for managed or self-hosted deployments.
Sources & coverage
This profile uses public, official and technically observable information. Missing information does not prove that a product or relationship does not exist. The list below does not imply that every profile statement has been verified.
17 publicly documented primary sources and citations linked across the market graph.
Continue your research on Langfuse
Open additional company details, personal Watchlists and your Strategic Intelligence Agent in Polaris7. It monitors your market daily and delivers tailored briefings with clear strategic context whenever relevant news occurs.
Daily intelligent monitoring · Verified primary sources.
Unlock full intelligence profile, ownership & live market signals