​
Overview

Traditional blockchain networks treat AI models as external resources, accessed through oracles or off-chain services. This creates a disconnect between smart contracts and the AI models they interact with, limiting the potential for truly decentralized AI applications. Ritual takes a fundamentally different approach by making AI models first-class citizens on the blockchain, enabling atomic interactions between smart contracts and models.
Just as smart contracts revolutionized digital coordination, enshrined AI models enable a new paradigm of programmatic AI interactions with cryptographic guarantees.

​
Key functionality

Native Model Representation

Models exist as on-chain objects with:
Verifiable provenance Modular model authenticity Direct smart contract integration

Atomic Contract-Model Interaction

Enables powerful primitives like:
Model inference as part of transaction execution Conditional transactions based on model outputs Model-driven state transitions

Decentralized Infrastructure

Built on Ritual’s core components:
Modular storage layers for model artifacts Verifiable execution through ZK, TEEs, and more Native model marketplaces to track and trade models

​
Current State

  • Model registration and verification
  • Basic model ownership primitives
  • Verifiable inference execution
  • Integration with Symphony for scaling

​
Use cases

DeFi + AI

Automated market making with ML modelsModel-driven portfolio rebalancingRisk assessment for undercollateralized lending

Governance

DAO proposal analysisAutomated policy enforcementSentiment-driven treasury management

Gaming

NPC behavior modelsDynamic content generationPlayer behavior analysis

Creator Economy

Generative art modelsContent moderationPersonalization engines

​
Getting Started

Get started with consuming models with our Classical ML and LLM Inference sidecars. Our tutorials & case studies feature hands-on ways to use native on-chain AI models, tapping into our enshrined compute and robust primitives.