Langfuse

langfuse.com · Berlin Treptow, Germany

Langfuse is an open-source observability and analytics platform for teams building applications with large language models, providing tracing, evaluation, and performance monitoring across prompts and model calls. The company offers a hosted SaaS and self-hosted deployment options used by engineering and data teams to debug, optimize, and manage LLM-powered products. Revenue is generated through subscription plans for its managed cloud service and enterprise features.

  • MLOps & ML Platforms
  • Document & Vision AI
Revenue
$800.0K
Employees
15
Founded
2023
Headquarters
Berlin Treptow, Germany

What 37 Arbolus experts think of Langfuse

Langfuse’s NPS distribution is skewed toward promoters, with most ratings between 8 and 10. 90% of experts express positive renewal intent or satisfaction, particularly among long-term users and mid/high spenders. Most users are in active or mature implementation stages, indicating strong stickiness. Major themes in the qualitative feedback include appreciation for granular tracing, critical debugging capabilities, and enterprise gap awareness for large-scale deployments. Overall Customer Sentiment: Positive

Who reviewed Langfuse

Total customers 37 34 current · 3 former
Reviews growth +31 in six months
Seniority of respondents
  • C-Suite 56% (21)
  • Director 24% (9)
  • Manager 21% (8)
Product Leader Director NPS 7
Engineering Engineer Manager NPS 9
Data Ops Not specified NPS 8

Employer names and spend open in the full report, along with the other 34 customers.

Everything 37 customers told us about Langfuse.

Employer names, spend, renewal intent and every written answer behind the numbers on this page.

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Sentiment

37 Net Promoter Score, from 37 scored reviews
  • Promoters 18
  • Passives 15
  • Detractors 4

Cumulative NPS by month

+0 over 6 months
  • May 8
  • Jun 9
  • Jul 9
  • Aug 8
  • Sep 8
  • Oct 8

Net Promoter Score across 3 reviews, accumulated up to each month. Category median 35 across 3 companies.

Praised

  • Enterprise Depth and Onboarding Speed
  • Automated Analytics and Root Cause
  • Out-of-Box Feedback and Compliance
  • Detailed Prompt and Cost Monitoring

Criticised

  • Competitive Multi-Agent Tracing
  • Enterprise Feature Gaps and Analytics
  • Cloud Hosting and UI Friction
  • Interface Polish and Non-Technical Access

What customers say

Detailed Prompt and Cost Monitoring
“Our first use case involves tracking exact API costs and token consumption metrics during development, and version-controlling our prompt templates, which has drastically optimized our debugging speeds.”
Flexible Production Tracing
“We rely on Langfuse primarily for LLM observability, tracing, evaluation, and prompt management, as these are essential for taking AI solutions from POC to production and ensuring reliability and quality.”
Critical Observability Capabilities
“I rely on Langfuse mainly because it gives us visibility into what is actually happening inside our LLM and agent workflows and makes debugging much easier once there are multiple models, tools, and prompts involved.”

Renewal intent

Plan to renew 75%
  • Will renew 12
  • Undecided 2
  • Not renewing 2

Plan to renew, by seniority

  • C-Suite 70% 10 answers
  • Director 100% 4 answers
  • Manager 0% 1 answer
  • Not specified 100% 1 answer
  • 8.6/10 Average score from customers who will renew
  • 7/10 Average score from undecided customers
  • 7.5/10 Average score from customers not renewing

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