Substrate Pallet for Verifiable Inference

We architect and deploy bespoke Substrate pallets that integrate verifiable ML inference directly into your blockchain's runtime. Includes on-chain verification logic and secure off-chain worker orchestration.

Implement verifiable computation proofs (ZK-SNARKs, STARKs) or optimistic fraud proofs to cryptographically guarantee the correctness of ML model outputs, ensuring trustless inference.

Design robust off-chain worker systems that securely fetch data, execute complex ML models, and submit proofs back to chain without compromising network performance or security.

Build secure oracle pallets that relay verifiable inference results to and from external chains (EVM, Cosmos, Solana), enabling cross-chain AI-powered applications.

Profiling and optimization of all on-chain operations—proof verification, state updates, storage—to minimize gas costs and ensure economic viability for end-users.

Comprehensive security review of pallet logic, proof circuits, and off-chain components. Optional formal verification for critical state transitions and economic invariants.

Deploy a production-ready, audited verifiable inference module in under 4 weeks. We provide the complete pallet, integration guides, and developer support to launch your AI-powered dApp faster.

Integrate Zero-Knowledge (ZK) or Optimistic Fraud Proofs directly into your Substrate chain. Our pallet ensures on-chain verification of off-chain AI model inferences, eliminating trust assumptions.

Eliminate the cost and complexity of managing custom verification infrastructure. Our pallet handles proof generation, verification, and slashing logic, allowing your team to focus on application logic.

Built for the Polkadot ecosystem with XCM support. Our pallet is designed for easy upgrades and compatibility with emerging proof systems and AI frameworks, protecting your long-term investment.

Get direct access to our Substrate runtime experts. We offer service-level agreements for critical bug fixes, performance optimization, and guidance on customizing the pallet for your specific use case.

Implement flexible fee models for inference requests and proof verification. Our architecture enables you to capture value from the AI services running on your blockchain, creating a new revenue stream.

We analyze your blockchain's consensus, tokenomics, and governance to design a custom pallet architecture. This ensures seamless integration of verifiable inference without disrupting your existing chain logic.

Our team builds your custom pallet in Rust, implementing core functions for proof submission, verification, and slashing. We conduct extensive unit and integration tests within a dedicated testnet environment.

We handle the full integration of the audited pallet into your node, configure runtime upgrades, and assist with the governance proposal for mainnet activation, ensuring a smooth launch.