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MECH-RAG

AI search across CAD models and technical drawings that helps engineers find and reuse existing parts instead of designing duplicates.

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Ledgermind lets a model provider prove that an output came from a claimed model and input, without disclosing the model weights themselves. We use succinct zero-knowledge proofs generated alongside inference, then verified by a lightweight on-chain contract in milliseconds.



The core challenge has been proof generation cost: naive zk-SNARK circuits for neural network inference are orders of magnitude slower than the inference itself. Our current prototype gets within 40x for a 7B-parameter model, down from over 4,000x eighteen months ago, using custom arithmetic circuits for attention layers.