LangWatch has secured a €1M pre-seed funding round led by Passion Capital, with support from Volta Ventures and Antler, marking a key step in advancing AI-powered applications.
The LangWatch Story
Building GenAI solutions revealed challenges in understanding user interactions and communicating issues. CTO Rogerio Chaves, while at Booking.com, recognized the need for evaluating LLM-based applications, leading to LangWatch’s creation.
Tackling LLM Challenges
LLMs generate inconsistent responses, making reliability a challenge. Many organizations rely on slow, manual methods, addressing issues reactively. Frequent model updates introduce new opportunities but require quality assurance. LangWatch bridges this gap by integrating test-driven development into AI workflows.
The LangWatch Platform
Designed for large AI organizations, the platform offers self-hosted deployments, open-source availability, compliance, and collaboration tools. Features include:
- Automated Quality Checks: Real-time alerts detect harmful outputs, eliminating manual testing delays.
- Continuous Improvement: DSPy-based optimizers enhance AI solutions.
- User-Friendly Interface: Supports seamless collaboration and dataset generation.
- Enterprise-Ready: Model-agnostic, ISO-compliant, and flexible hosting options.
Redefining Evaluations
LangWatch unifies AI evaluations, integrating real-time monitoring, batch testing, and custom evaluations in one platform.
Looking Ahead
This funding milestone fuels LangWatch’s commitment to scalable AI solutions. Expansion across evaluation and optimization will drive faster, more reliable AI development.
LangWatch is hiring in AI research, solution engineering, full-stack software engineering, and GTM. Those aligned with this vision are invited to join the team.
Image credit: LangWatch