Curestry

Curestry is building the engineering toolkit for the next generation of AI agents. As companies move real operations onto autonomous AI, they face a hard truth: agents fail in unpredictable ways, and teams have no structured way to detect, diagnose and fix those failures. Our vision is to give teams visibility into their AI, the means to test it with confidence, and the tools to improve it - just like traditional software. Our current technical prototype centered on prompt optimization and early agent observability. It analyzes agent interactions, identifies weak points in prompts, and generates targeted improvements that reduce hallucinations, stabilize responses, and lower token costs. The system makes it easier to debug issues, compare prompt versions, and eliminate guesswork from agent development. Curestry gives organizations a practical way to build AI agents that perform reliably in real workflows.