Auditing AI models today is slow, costly, and often intrusive. Businesses that deploy AI—especially in regulated industries—need to prove their models are accurate, unbiased, and compliant without revealing proprietary details. Lagrange makes this possible through DeepProve, its zero-knowledge machine learning (zkML) technology.
DeepProve wraps each AI inference in a ZK proof that can be verified in under half a second. That means a regulator, partner, or customer can confirm the output is correct without seeing the underlying model or data .
For example, in finance, a bank could use Lagrange to prove that its AI-driven loan approvals follow the correct algorithm without exposing internal scoring rules. In healthcare, hospitals could prove diagnostic AI used the right model without sharing patient records. In gaming, developers could show that AI-driven outcomes are fair without leaking the code.
By embedding proofs directly into AI workflows, Lagrange transforms compliance from a slow, external audit into a real-time, integrated verification process—a huge leap for industries where trust and speed matter equally.
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