# Overview

### Intro to RMS

[RMS (Resilient Model Services)](https://www.ora.io/rms) is an AI service designed to provide computation for all scenarios, ensuring resilient (stable, reliable, fault tolerant, and secure) AI computation through the power of [opML](https://arxiv.org/abs/2401.17555). 

### Using RMS

#### [ORA API](#ora-api)

Stage 1 of the RMS release is ORA's AI API service that integrates seamlessly with existing AI frameworks.

API service allows developers to call upon most popular AI models for AI inference like chat completions, image generation, and more, with all interactions being decentralized and verifiable.

### Use Cases

#### AI Agents

AI Agents within RMS can operate with high autonomy with verifiability, ensuring their operations are secure and transparent onchain.

Using RMS gives you the best all-in-one support for the most AI models with competitive pricing. You can just replace your existing API with RMS.

Learn more about ORA's vision in Agent in [opAgent's manifesto](https://mirror.xyz/orablog.eth/sEFCQVmERNDIsiPDs2LUnU-__SdLmKERpCKcEP7hO08).

#### DeFAI

DeFAI, or Decentralized Finance + Artificial Intelligence, aims to abstract the complexities of DeFi with AI.

Using RMS gives you the native integration to DeFi protocols and all the popular onchain protocols such as smart contract wallet, or AMM.

RMS will support DeFAI by providing AI services like automated trading strategies, risk management, and personal financial agent, all verifiable and decentralized.

#### Web3 Gaming

Web3 games on RMS can leverage AI for dynamic gameplay, NPC interactions, and real-time decision-making, all while ensuring that game logic and outcomes are verifiable on the blockchain.

### Roadmap

* ✅ Stage 1 - API Service

The initial release of RMS includes the API service for AI computations, allowing developers to integrate with models like those from DeepSeek, Meta-Llama, Google, MistralAI, Qwen, and others. This stage focuses on proving the concept of decentralized and verifiable AI computation.

* Expansion of Supported Models:

Continued addition of new and sophisticated models and functionalities, enhancing the variety of services available through RMS, with a focus on AI services specific to Web3.

* Integration with Onchain Protocols:

Further integration with onchain protocols to explore and implement more complex use cases such as DeFAI.

* Enhanced Framework Integration:

Developing more tools and adaption to existing libaries (eg. Unity for Web3 game developers) to utilize RMS service in compatible ways.

### Why opML?

At the core of RMS is opML, a framework invented by ORA that brings verifiability and decentralization to AI computation. Using opML provides the benefits of verifiability, resilience, flexibility, and transparency.

### Coming Soon

RMS is part of ORA’s commitment to providing decentralized, verifiable AI solutions.

More info will be available soon.


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