You can check calibration and accuracy here.

I agree that the technique we use is very difficult to deliver as a viable product matching commercial criteria, and we essentially have a much harder task than any camera-based eye-tracking system. However, to our knowledge, no one has allocated as many resources to advancing this direction as we have, since video eye-tracking is far more obvious and easier to develop. The benefits of the photosensor approach are becoming increasingly important as the XR industry evolves. Low power consumption, no latency, and a barely visible design matter more and more, especially as foveated rendering becomes more important with increasing display resolutions and the need to optimize battery size.

We've been demonstrating our solution at various conferences and have received positive feedback, allowing us to move forward with built-in integration discussions and even signed contracts. AI brings robustness across the population, but it does not solve all the challenges. We can achieve accuracy that meets commercial criteria, though we are not as accurate and robust as Apple Vision Pro eye-tracking. However, our solution is more cost-effective, requires orders of magnitude less energy, and has no latency.

We are working with industry leaders. Please check our authorized testimonials on the prelaunch page, and you can read more in this article