Encrypted AI/ML Model Execution

Execute AI inferences on fully encrypted data using Zero-Knowledge Proofs (ZKPs) or Fully Homomorphic Encryption (FHE). Sensitive user data and proprietary model weights never leave the secure enclave, eliminating data breach risks and ensuring compliance with GDPR/CCPA.

Generate tamper-proof, on-chain verifiable proofs for every AI inference. This creates an immutable audit trail, enabling users and regulators to verify that model outputs (e.g., credit scores, trading signals) were generated by the correct, unaltered model without bias.

Transform proprietary AI models into revenue-generating, tradable assets. Implement pay-per-inference microtransactions, subscription-based access via smart contracts, or fractional ownership through tokenization, unlocking new Web3-native business models.

Leverage decentralized compute networks (like Akash, Gensyn) for inference workloads, bypassing expensive, centralized cloud vendor lock-in. Automate billing, access control, and SLA enforcement via smart contracts to slash administrative overhead.

Use our pre-audited, modular frameworks for encrypted inference on EVM (Ethereum, Polygon) and SVM (Solana) chains. Go from concept to production-grade encrypted AI agent or prediction market in weeks, not months, with guaranteed interoperability.

Deploy with confidence using our certified secure enclaves (Intel SGX, AWS Nitro), regular audits by firms like Quantstamp, and guaranteed service level agreements for uptime and proof generation latency.

Build private, on-chain risk models that analyze borrower data without exposing it. Enable underwriting for DeFi lending protocols with verifiable, bias-resistant algorithms.

Key Deliverables: Custom model integration, ZK-proof generation for compliance, and on-chain inference oracles.

Deploy encrypted ML models to monitor DeFi transactions and NFT marketplaces in real-time. Detect wash trading, money laundering patterns, and smart contract exploits with private, updatable threat intelligence.

Key Deliverables: Real-time alert system, model retraining pipelines, and privacy-preserving data aggregation.

Execute proprietary quantitative trading models on DEX order flow and cross-chain data without revealing the strategy's logic or parameters. Maintain competitive edge with verifiable, on-chain execution.

Key Deliverables: Encrypted model deployment, secure off-chain computation orchestration, and verifiable result attestation.

Implement compliant identity checks and sanctions screening using encrypted AI. Verify user credentials against private datasets without exposing personal information on-chain, enabling regulatory-compliant dApps.

Key Deliverables: ZK-proof integration for KYC/AML, secure data connector framework, and audit-ready compliance logs.

Power dynamic NFT attributes, gameplay outcomes, and generative art with private, verifiable randomness and predictive models. Ensure provably fair and engaging user experiences without exposing the underlying logic.

Key Deliverables: Custom randomness beacon, encrypted state transition logic, and verifiable execution proofs for users.

Analyze IoT sensor data and logistics information on a permissioned blockchain with encrypted ML models. Predict delays, verify authenticity, and optimize routes while keeping sensitive commercial data confidential.

Key Deliverables: Private data ingestion oracles, custom predictive model deployment, and permissioned result sharing mechanisms.