#larguage
Lagrange's DeepProve is currently the fastest zkML, capable of easily proving the correctness of AI inferences and scaling verifiable computing with the growing demand for AI.
Lagrange's core product logic is to solve the on-chain invocation/verification problem of AI models using zero-knowledge proofs.
Like a puzzle in the ZK Coprocessor, it falls into the category of off-chain execution + on-chain verification, somewhat resembling a trusted middleware for AI data results.
Project advantages:
1. Verifiable Artificial Intelligence
DeepProve allows anyone to verify, in an encrypted manner, whether a model executed the correct task with the correct input and produced the correct output—regardless of where or how it runs.
2. Protecting Model Integrity
Ensures that AI models deployed in production have not been tampered with. It verifies performance, audits behavior, and protects IP while maintaining the confidentiality of model parameters.
3. Trust Without Compromise
Today, trusting AI often requires sacrificing control, oversight, or data privacy. DeepProve solves this issue by providing provable trust with each inference, without compromise.
