LangWatch funding news – Dutch Startup LangWatch Secures €1Million in Pre-Seed Funding

It helps AI teams monitor, assess, and optimize applications that use large language models (LLMs). The platform aims to simplify development, improve quality, and encourage collaboration.

Using Stanford's DSPy framework, it provides an easy-to-use drag-and-drop interface that automatically finds the best prompts and models, saving time on manual adjustments.

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The platform allows experts in fields like law, sales, customer service, HR, healthcare, and finance to get involved in the development process. The global LLM market was valued at around $5.72B in 2024, and it is expected to grow to $123B to $140B by 2034.

Manouk Draisma, co-founder of LangWatch, commented: “Enterprises worldwide are looking for solutions that provide deep insights, ensure high-quality results, and clearly demonstrate impact to upper management. LangWatch sets a new standard for AI optimization—equipping engineers with powerful tools, including DSPy-based optimizers, to not only quickly identify and resolve issues but also continuously improve quality. By integrating these frameworks, LangWatch enables teams to iterate faster and more reliably than ever, allowing companies to deploy competitive AI solutions to production with greater speed and confidence.”

Will Orde, Partner at Passion Capital, added: “LangWatch stands out because they’ve built a platform that makes AI quality control accessible to every engineer and non-technical domain-experts. Their hybrid approach—combining LLM prompt optimization with an intuitive, low-code framework—removes a major barrier to deploying reliable AI applications at scale. We were particularly impressed by the founding team’s unique blend of deep technical expertise and commercial acumen, which gives them a distinct advantage in bridging the gap between AI research/development and real-world enterprise adoption.”

About LangWatch

LangWatch offers a complete set of tools to improve your current models and reduce risks like data leakage, jailbreaking, and errors. Create reliable AI with confidence using it.