In the history of the development of zero-knowledge proofs and zkML, performance bottlenecks have always been the "biggest obstacle."
Many libraries can generate proofs, but their speeds are too slow to support practical business needs. Lagrange's DeepProve has made a breakthrough in this regard.
Official data shows that DeepProve's proof generation efficiency is up to 158 times faster, and the verification speed is even 671 times faster. This means it can not only run successfully in a laboratory but can also be applied in real-time finance, medical diagnosis, and even reasoning verification in the defense sector. It's worth noting that in the past, zkML verification often took minutes or even hours, while the acceleration effect of DeepProve has made verification "real-time available."
The significance of this performance difference is not just "faster," but fundamentally changes the applicability of zkML. It allows trustworthy verification of AI to truly cross over from academic research to production environments. This is one of Lagrange's core competitive advantages and a key reason for its widespread recognition by the ecosystem and capital.
