DeepProve lets anyone cryptographically verify that a model performed the right task, with the right input, and produced the correct output—no matter where or how it’s run.
Ensure that AI models deployed in production haven’t been tampered with. Verify performance, audit behavior, and safeguard IP—all while keeping model parameters private.
Today, trust in AI often requires giving up control, oversight, or data privacy. DeepProve solves that. Every inference comes with a proof—provable trust, without compromise.
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The developer trains a neural network and exports it as an ONNX file.
The executable parses the ONNX file, generates circuits, and prepares prover/verifier keys for the SNARK proof system.
A prover runs the SNARK prover to compute inferences and generate proofs for given inputs.
Any verifier can validate these proofs to confirm the correctness of outputs.
They use a product backed by DeepProve
There is a proof that the inferences done are correct with every AI output
They no longer need to verify that AI is correct — it already has been verified by DeepProve
