Mobile Zero-Knowledge Machine Learning Inference

Optimized ZK circuits and proving systems for mobile CPUs/GPUs, enabling private inference without server-side data exposure. We implement Groth16, Plonk, and custom proving backends.

Convert TensorFlow/PyTorch models into ZK-friendly arithmetic circuits. We specialize in quantization, constraint optimization, and privacy-preserving model architectures for mobile constraints.

Secure data flow from mobile sensor input to verified on-chain output. Implements MPC for pre-processing, TLS 1.3 for transport, and zero-knowledge proofs for computation.

Light-client verifiers and state bridges for Ethereum, Solana, and L2s (Arbitrum, zkSync). Deploy once, verify proofs across multiple blockchain ecosystems.

Battery-efficient, low-latency mobile SDKs (Swift, Kotlin, React Native) with automatic proof batching, caching, and adaptive complexity for varying network conditions.

User data never leaves their device. We implement ZK-SNARKs or ZK-STARKs to generate verifiable inference proofs, enabling private biometrics, health analytics, and financial predictions without compromising sensitive data.

Achieve real-time AI responses on iOS and Android. Our optimized ZK circuits and model quantization reduce proof generation time from minutes to milliseconds, enabling seamless user experiences.

Eliminate the need for centralized data lakes and associated GDPR/HIPAA compliance overhead. Process data at the edge, only submitting lightweight, privacy-preserving proofs to your blockchain or backend.

Cryptographically prove that a specific, unaltered ML model generated a prediction. This creates trustless AI oracles, secures DeFi lending decisions, and prevents model spoofing in authentication systems.

Leverage our pre-built ZKML circuits for common models (CNNs, RNNs) and mobile SDKs for Flutter, React Native, and native platforms. Go from concept to prototype in weeks, not months.

Enable pay-per-prediction microtransations, token-gated AI features, or user-owned AI agents that can be leased. Create verifiable usage logs for transparent billing and revenue sharing.

We design the optimal ZK circuit architecture and mobile inference pipeline, selecting between Groth16, PlonK, or Halo2 based on your latency, proof size, and trust model requirements.

Our team implements and rigorously optimizes ZK circuits for mobile constraints, focusing on proof generation time, memory footprint, and verification gas costs on-chain.

We build lightweight, platform-native SDKs (iOS/Android) that abstract ZK complexity, providing simple APIs for on-device model inference and proof generation.

Every component undergoes internal review against OWASP Top 10 and blockchain-specific vulnerabilities. We prepare full documentation for external audits by firms like Spearbit or Zellic.

We establish baseline metrics for inference speed, proof generation time, and end-to-end latency across target devices, providing verifiable performance SLAs.

We provision the supporting infrastructure—verifier contracts, relayers, and monitoring dashboards—and provide comprehensive documentation for your engineering team.