Verifiable AI AppChain Development

Deploy verifiable, on-chain inference endpoints to create new revenue streams. We build the smart contracts and oracles that enable pay-per-use or subscription-based access to your proprietary models, with automated, transparent settlements.

Leverage decentralized compute networks via your dedicated AppChain to access competitive GPU pricing. We architect the integration to route inference tasks, significantly lowering your operational overhead versus centralized cloud providers.

Generate cryptographic proofs of model execution and training data provenance. We implement ZK-proofs or optimistic verification circuits to provide immutable, auditable records, building user trust and meeting regulatory scrutiny.

Go from concept to live AppChain in weeks, not quarters. Our battle-tested modular framework for AI-specific rollups includes pre-audited templates for model governance, data feeds, and tokenomics, allowing for rapid customization.

Build autonomous agents that operate across Ethereum, Solana, and other ecosystems. We develop the secure messaging layers and cross-chain bridges that allow your AI to read on-chain data and execute transactions anywhere.

Adopt a modular AppChain architecture that separates execution, settlement, and data availability. We ensure your stack can seamlessly integrate new AI accelerators, data layers (like Celestia/EigenDA), and verification schemes without hard forks.

Build a private, verifiable credit assessment system. We deploy an AppChain where sensitive financial data is processed by ML models off-chain, with ZK proofs submitted on-chain for immutable, fraud-proof scoring decisions. Enables DeFi underwriting without exposing raw user data.

Key Deliverables: Custom risk model integration, privacy-preserving data ingestion layer, and on-chain proof verification contracts.

Deploy a dedicated chain for real-time transaction monitoring. Our solution uses ZKML to analyze transaction patterns for AML/CFT compliance, generating succinct proofs of clean activity for regulators or DAOs, drastically reducing manual review overhead.

Key Deliverables: Real-time analysis engine, customizable rule sets, and regulatory-grade proof generation framework.

Launch an AppChain for verifiable content provenance and automated, transparent moderation. Use ZKML to run image/video analysis models (e.g., for deepfakes or policy violations) and anchor tamper-proof authenticity certificates on-chain.

Key Deliverables: Media fingerprinting pipeline, ZK-proof generation for model inferences, and immutable content registry contracts.

Create a specialized ZKML oracle network. We build an AppChain that aggregates and verifies predictions from multiple AI models off-chain, using ZK proofs to deliver provably correct, tamper-resistant data feeds to smart contracts for DeFi, prediction markets, and gaming.

Key Deliverables: Multi-model consensus mechanism, high-throughput proof batching, and gas-efficient feed consumer contracts.

Develop a gaming-centric AppChain with verifiable, AI-driven dynamics. Implement ZKML for non-exploitable, personalized in-game experiences (e.g., adaptive NPCs, dynamic loot generation) and for proving the fairness of procedural generation in generative NFT collections.

Key Deliverables: Game engine integration SDK, verifiable randomness, and asset provenance modules.

Implement an enterprise supply chain AppChain with verifiable AI analytics. Use ZKML to process IoT sensor data and logistics information off-chain, generating proofs of condition, authenticity, and compliance at each checkpoint for immutable, audit-ready records.

Key Deliverables: IoT data adapter layer, custom compliance logic, and permissioned proof verification for partners.