There are actually quite a few projects doing AI verification on the market, but very few are truly comprehensive. Some focus on shared computing power, while others concentrate on single model verification. The issues with using them are quite obvious—either the entry barriers are too high or the supported application scenarios are limited.

Recently, I looked at Mira's business progress, and its competitiveness has indeed been established. What's the difference? It has grasped the key point of "certainty." Many projects have made various optimizations at the computing power or model level, but Mira focuses on certainty verification, which means the reliability and consistency of the results are fundamentally guaranteed. This approach is still relatively rare in the AI verification track and is worth paying attention to.