Who are our customers?

We are building Langfuse for engineering teams working on impactful AI applications/features that are core to their product strategy, constantly iterating and working around model limitations.

We are working with 10s of thousands of engineers and companies across industries, AI use cases, company sizes and geographies.

• Some of our customers and what they do:
  • Canva - Online design platform for creating visual content (Read Story)
  • Intuit - Financial software company (TurboTax, QuickBooks, Mint)
  • Juicebox.ai - AI recruiting platform that powers outbound talent sourcing
  • Samsara - Fleet management and IoT platform for physical operations
  • Twilio - Cloud communications platform (SMS, voice, video APIs)
  • SumUp - Point-of-sale and payment processing solutions for small businesses (Read Story)
  • Khan Academy - Free online educational platform with courses and lessons (Read Story)
  • Magic Patterns - AI-powered design tool for generating UI components and prototypes (Read Story)
  • Merck - Global pharmaceutical and life sciences company (Read Story)
  • TELUS - Canadian telecommunications company
  • Circleback - AI meeting assistant that records, transcribes, and generates meeting notes
  • Langfuse Team Internal: see metabase dashboard of top customers
• OSS projects depending on Langfuse: link

How to identify them?

Needs to (must have all):

• Create a good LLM application that is core to company strategy
• Have technical ability to integrate Langfuse themselves
• Engineering manager, engineering IC, technical product manager, off-chance MLEng or Data Scientist

Has (some of):

• Clear AI strategy that involves building AI applications with internal resources
• Done research on evals, tracing; open to consume content to learn this
• Traction / initial PMF or needs to get to high bar of quality before launching
• In-house LLMOps/eval setup that gets tedious to manage/scale
• Assess different solutions themselves to make a good decision
• Engineer(s) that can make buying decision
• In startup, tech scale-up

Does not need / have:

• Formal procurement process
• Hands-on consulting / solutions engineering

Adopters

The following list of companies using Langfuse and their success stories is assembled from public sources, thus might differ from current reality. We’d appreciate it if you share the story of adopting Langfuse in your company and add it to the list, but please make sure you won’t have any NDA issues by doing so. Providing updates with publications from other companies is also useful.