Lagrange's DeepProve is currently the fastest zkML, easily proving the correctness of AI inferences and scaling verifiable computation with the growth of AI demand
The core product logic of Lagrange is using zero-knowledge proof to address the issue of AI model invocation/verification on-chain
Like a puzzle in a ZK Coprocessor, it falls under 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 has performed the correct task with the correct input, and produced the correct output—regardless of where or how it runs
2. Protecting model integrity
Ensure that AI models deployed in production are not tampered with. Verify performance, audit behavior, and protect IP while maintaining the confidentiality of model parameters
3. Uncompromising trust
Today, trusting artificial intelligence often requires relinquishing control, oversight, or data privacy. DeepProve solves this problem by providing provable trust with every inference, without compromise #Launchpool #LA
