LangWatch▌

about

LangWatch empowers AI teams to ship 10x faster with quality assurance at every step. It offers a scientific approach to LLM quality measurement, automatic prompt and model optimization using Stanford's DSPy framework, and a drag-and-drop interface for team collaboration. The platform addresses the challenges of LLM performance uncertainty, manual optimization processes, and the transition from proof-of-concept to production. LangWatch provides full dataset management, custom or off-the-shelf quality evaluators, quality, latency, and cost measurement, debugging tools, versioned experiments, and integration into any tech stack. It supports all LLMs, offers self-hosted deployment for data and security control, and is GDPR compliant, working towards ISO27001. For European customers, servers are hosted in Europe.

features & capabilities

• /Measure LLM quality using a scientific approach.
• /Maximize LLM performance by automatically finding the best prompts and models using Stanford's DSPy framework.
• /Collaborate with your team using a drag-and-drop interface.
• /Manage datasets and set quality standards.
• /Create custom quality evaluators or use pre-built ones.
• /Measure quality, latency, and cost; debug messages and outputs.
• /Track optimization progress with versioned experiments.
• /Monitor, evaluate, and obtain business metrics from LLM applications.
• /Integrate with any tech stack via API.
• /Offer self-hosted deployment for enhanced data control and security.

industry focus