<aside> đŸ’¡ Welcome to the LangWatch.ai data room! We're excited to share our vision and journey with you.
We appreciate your interest and look forward to potentially partnering with you.
Should you have any questions, please don't hesitate to reach out to us at [email protected]
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AI is now shifting from simple LLM usage to autonomous, agentic systems, capable of reasoning, planning and executing tasks across tools and workflows. This unlocks enormous potential, but it also introduces unpredictability, complexity, and risk that traditional prompt testing / evals cannot handle. Ensuring reliability and quality is still highly manual and requires significant time from AI teams.
LangWatch is building the platform that allows teams to take agentic AI to production faster, with higher confidence, and the ability to continuously improve performance.
This is a platform that not only evaluates the quality and behavior of LLMs, prompts, and agents, but also simulates and stress-tests agent workflows by running 1000s of scenario’s against your agentic system. And automatically improves them using DSPy-powered optimization.
This brings a rigorous, engineering-driven approach to agent testing and optimization. What previously required hours, or weeks of manual trial-and-error can now be done in minutes. This capability is unique in the market and enables companies to reduce cost, improve reliability, and ship agentic AI products with confidence.
https://www.linkedin.com/company/langwatch/ | https://twitter.com/LangWatchAI https://www.youtube.com/@LangWatch
https://www.youtube.com/watch?v=K1FmT5jg-rI&t=6s
Our differentiator: LangWatch Scenario (Agent Simulations)