Amsterdam-based startup LangWatch.ai has successfully raised €1 million in a pre-seed round, led by Passion Capital, with additional support from Volta Ventures and Antler. This investment will be used to further develop the platform and attract technical talent.

What Does LangWatch.ai Do?

LangWatch is an advanced platform for teams working with large language models (LLMs). It offers tools for monitoring, evaluation and optimization of AI applications. Think of simulating AI agents, detecting regressions, and tracing question-answer cycles to catch errors early. The solution can be deployed anywhere — whether you use OpenAI, Anthropic, Azure, Gemini or other models — and is fully open-source. It supports self-hosting for organizations with strict compliance requirements.

Why It Matters

  • LLMs don't always respond consistently to the same question. This makes quality assurance challenging. LangWatch brings test-driven development to AI workflows.
  • The platform helps teams deploy their models faster and more reliably, with tools such as DSPy-based optimization and visual data simulation.
  • Organizations save time and costs by detecting problems early and iterating more effectively. Some customers report deployment speeds up to ten times faster.

Background Context

Co-founder Manouk Draisma explained that many teams struggle with late-discovered issues, inaccuracies or hallucinations — and often respond too late. The platform aims to change this with insights into user interactions and robust quality control. According to Passion Capital, LangWatch makes AI quality accessible to both technical and non-technical users. By combining low-code workflows with powerful evaluations, the startup bridges an important gap between AI research and enterprise use.