Tokanai was born from a simple, painful experience: a surprise AI bill that was 10x higher than expected. We realized that while building with large language models was easier than ever, understanding their true cost was nearly impossible. The tools available were either too simplistic or too complex, and none gave a clear, actionable path to efficiency.

We decided to fix that.

Our approach is grounded in the physics of computation. We don't just look at token counts; we analyze the fundamental operations—the FLOPs, the memory bandwidth, the hardware utilization—that determine the real cost of inference. This allows us to provide not just an analysis, but a precise, trustworthy optimization plan.

Built by Experts

Our team includes engineers with deep experience in large-scale systems and cloud infrastructure from companies like Datadog, AWS, and Vercel. We're not just developers; we're practitioners who have felt the pain of opaque cloud bills and are passionate about building the tools we wish we had.

• Behavior-First Design: We believe the best tools are invisible, guiding you to the right answer without friction.
• Radical Transparency: From our code to our pricing, we believe in clarity and honesty.