Deep Trust Network

Trust Layer for Decentralized AI

Zero Knowledge AI Inference Verification

AI models can prove the correctness of their outputs without exposing proprietary data or internal mechanisms. This ensures trust in AI-generated results while maintaining privacy and security.

Privacy Preserving Quality Rating

AI models are ranked based on cryptographic proofs rather than biased reviews or centralized authorities. This guarantees an unbiased and tamper-proof reputation system for AI services.

AI Voting Quorums - On chain AI Application

Voting quorums that enable ground breaking on-chain AI applications, not possible before:
- Decentralized Peer to peer OTC marketplaces where complaints are settled by AI jury.
- On chain betting, where betting results are judged with an AI jury
- Deterministic Trustless AI Oracles

Infinitely Flexible AI Inference Marketplace

Monetized GPU for Inference or Trust Layer

GPU providers can earn by contributing computational power for AI inference or by verifying AI model integrity. This creates a sustainable and decentralized economy for AI infrastructure.

Cheap and uncensored Access to AI

Users can interact with AI models at low cost without restrictions imposed by centralized platforms. This enables global accessibility to AI, free from censorship or monopolistic control.

Multi-layer Governance

Layer 0 as The Building Blocks

A foundational trust layer that ensures AI verification through cryptographic proofs and staking incentives. This serves as the backbone for secure and decentralized AI interactions.

System Governance Layer

Organizations, DAOs, and governments can create custom AI governance frameworks on top of Layer 0. This allows AI regulation and compliance to be tailored to specific industries and jurisdictions.