ZKML Framework Consulting

We develop and audit the on-chain verifier contracts (Solidity, Cairo) that securely validate your ZK proofs, ensuring seamless integration with your dApp's existing logic and tokenomics.

We deploy and configure scalable, high-availability proving infrastructure (often using zkVM frameworks) to handle your application's load with guaranteed SLAs for proof generation latency.

We conduct iterative benchmarking and optimization of your entire ZKML pipeline, focusing on reducing proof size, verification gas costs, and end-to-end latency for production readiness.

We deliver audited, gas-optimized zero-knowledge circuits for your specific use case (e.g., private transactions, identity verification, confidential ML inference). Built with industry-standard frameworks like Circom, Halo2, or Noir.

We architect your ZKML pipeline to minimize on-chain verification gas costs by up to 70% through custom constraint system design and proof aggregation strategies, making private computation economically viable.

We implement secure bridges between your ML models (TensorFlow, PyTorch) and ZK frameworks, ensuring model integrity and preventing data leakage during the proof generation process.

Leverage our battle-tested ZKML development patterns and reusable circuit libraries. Avoid common cryptographic pitfalls and accelerate your launch from concept to mainnet deployment.

Design ZKML systems that provide selective disclosure and audit trails, enabling compliance with regulations like GDPR or MiCA while maintaining user data confidentiality on-chain.

We design and deploy the backend prover infrastructure for your application, ensuring low-latency proof generation at scale using GPU/CPU clusters, with monitoring and auto-scaling.