Kashikoi

At Kashikoi, we envision a future where AI agents are not only intelligent but measurable in their capabilities through rigorous and scalable evaluation. Our mission is to redefine how businesses and developers understand the behavior and performance of generative AI by building a dynamic simulation engine that transcends traditional testing boundaries.

We harness advanced CPU-efficient world models to create immersive multi-turn conversational simulations, enabling our users to probe AI agents deeply, uncover nuanced insights, and confidently optimize their systems. Through innovation and a rigorous scientific approach, we are setting a new standard for AI benchmarking that empowers organizations across industries to advance the impact and reliability of AI technologies.

Grounded in expertise from cutting-edge AI research and security innovation, Kashikoi is sculpting the tools that will shape the next generation of AI performance measurement, helping the world embrace AI with clarity and confidence.

The need to properly test AI systems before deployment has never been more critical, and Kashikoi's simulation engine brings a fascinating approach to this challenge. We've seen plenty of AI evaluation tools, but Kashikoi's method of using "simulated conversations" to stress-test AI agents caught our attention.

Smart Testing for Smarter AI

What impressed us most about Kashikoi is how it moves beyond simple prompt engineering. Instead of relying on static test cases, their platform creates dynamic conversational flows that really put AI agents through their paces. It's like having a tireless QA team that can run thousands of conversations in the time it would take a human to complete just a few.

A Technical Edge That Makes Sense

The founding team's background really shows in the product's DNA. With experience from Moveworks and Carnegie Mellon's Transformer research, they've built something that's both sophisticated and practical. Their use of CPU-friendly world models is particularly clever — it keeps costs down while maintaining the depth of testing needed for enterprise-grade AI.

Where It Really Shines

We see Kashikoi being especially valuable for companies in regulated industries like healthcare and finance, where AI reliability isn't just about user experience — it's about compliance and safety. The ability to thoroughly test AI agents before deployment could help prevent costly mistakes and reputation damage.

While the platform is still young (part of YC's Spring 2025 batch), we think they're onto something important. As more companies deploy AI agents, tools like Kashikoi that can effectively benchmark and validate AI performance will become essential infrastructure for the AI industry.