Private AI Inference ZK Circuit Services

Deploy verifiable inference endpoints where users pay for AI predictions without ever accessing your proprietary model weights or training data. We build the ZK circuits that prove correct execution, enabling new SaaS and pay-per-use business models.

Meet data sovereignty (GDPR, CCPA) and financial compliance requirements by cryptographically proving AI logic without moving sensitive user data. Our circuits generate verifiable audit trails for every inference, simplifying compliance reporting.

Accelerate your product launch with our library of pre-audited, modular ZK circuits for common AI ops (MLPs, CNNs, Transformers). We customize and integrate them into your stack, reducing development time from months to weeks.

Eliminate "black box" distrust in critical applications like credit scoring or content moderation. Our ZK proofs provide cryptographic guarantees that your AI model ran exactly as specified, building user trust and platform integrity.

We specialize in circuit optimization for minimal proof generation time and on-chain verification gas costs. Our techniques, including custom gate design and proof aggregation, make private AI economically viable at scale.

Deploy with confidence. Our circuits undergo formal verification and peer review. We provide 24/7 monitoring, incident response, and dedicated engineering support with SLAs for your production inference pipeline.

We analyze your AI model and data flow to design an optimal ZK circuit architecture. This phase defines the proof system (e.g., Plonk, Groth16), identifies computational bottlenecks, and establishes a clear technical roadmap.

Our engineers write and optimize the core ZK circuits in Circom or Halo2. We focus on minimizing constraint count and proof generation time, implementing custom gates for non-linear operations common in neural networks.

Every circuit undergoes formal verification and manual review to eliminate logical bugs and cryptographic vulnerabilities. We employ static analysis tools and follow best practices from audits of major ZK-rollups.

We benchmark proof generation/verification times and gas costs on target networks. Performance is tuned through parallelization, lookup tables, and hardware acceleration (GPU/FPGA) considerations for production scaling.

We deliver a clean, documented SDK (TypeScript/Go/Rust) for seamless integration into your backend. This includes prover/verifier contracts, client libraries, and comprehensive deployment guides.

We manage the mainnet deployment of verifier contracts and prover infrastructure. Post-launch, we provide monitoring dashboards and ongoing support to ensure system reliability and performance.