Startup profile · funding coverage
Langfuse funding, valuation and investors
Developer-oriented LLM and AI agent tracing, prompt management and evaluations; acquired by ClickHouse in January 2026.
Verified company research · funding, investors and latest developments
Keep track of Langfuse
Save this profile to your VCT watchlist for a quick return.
Funding, valuation & investors
Answer-first snapshotLatest funding
Seed
$4M · November 7, 2023
Latest known valuation
Not publicly disclosed
Total disclosed equity funding
$4M
Excludes debt, grants, acquisitions, secondaries, and IPO proceeds.
Current status
acquired
acquired · Berlin, Germany
Latest tracked event: ClickHouse acquisition (January 16, 2026). It is shown separately because it is not counted as disclosed equity funding.
Overview
Founded in 2023, Langfuse built an open-source LLM and AI agent observability platform for traces, cost control, prompt management and evaluation datasets. The Y Combinator W23 team announced a $4M seed in November 2023 led by Lightspeed with La Famiglia and Y Combinator. ClickHouse acquired Langfuse in January 2026 for undisclosed consideration, bringing developer-first agent traces closer to analytical data infrastructure.
The open-source product remains usable, but commercial hosting and enterprise features carry separate obligations. Agent traces do not replace runtime security controls.
Why Langfuse is interesting
Langfuse illustrates open-core developer-led distribution in AI observability and the strategic value of high-volume agent telemetry to analytics infrastructure providers.
Product & use cases
LLM tracing, prompt and dataset management, evaluation experiments, agent telemetry and developer-oriented observability.
- Trace multi-step LLM/agent calls and prompt versions
- Compare evaluation datasets across model revisions
- Investigate usage and token costs
Funding history (newest first)
ClickHouse acquisition
2026-01-16 UndisclosedSource: Read source · clickhouse.com
Seed
2023-11-07 $4MSource: Read source · langfuse.com
Competitive landscape
Edge: Developer adoption and flexible instrumentation model; performance and costs vary with ClickHouse integration and hosting.
The closest alternatives differ by whether they investigate existing telemetry, orchestrate incidents, evaluate AI agent behavior, or prevent adversarial exploitation. Selection should be based on representative task-level tests, deployment permissions, data control and total ownership cost.
-
Fiddler AI direct
Enterprise model and agent observability
-
LangSmith direct
Observability within LangChain tools
-
Arize AI direct
Observability and evaluations
Industries
Market / IPO context
Editorial / static context — not a live quote.
FAQs about Langfuse
Practical answers founders, operators, and investors typically search for.
Last updated:
Editorial note: AI tools assisted with research, structure, or drafting. Venture Capital Tracker retains human editorial responsibility for factual accuracy, relevance, and source quality before publication.