Introducing Spectral's Machine Intelligence Network

Unlocking the Inference Economy, by bridging ML and Web3 with verifiable, trustless inference feeds for seamless integration into smart contracts.

Bridging ML and web3 with verifiable, trustless inference feeds

Spectral’s Machine Intelligence Network is a two-sided protocol offering high-quality inference feeds for smart contracts to consume machine learning (ML) and artificial intelligence (AI). Using zero-knowledge machine learning (zkML) allows for privacy preservation, a unique validation process, and an easy-to-use, state-of-the-art software development kit.

The protocol enables the Inference Economy, an incentivized system that rewards machine intelligence miners, protects their intellectual property (IP), and generates ML inference feeds to be consumed directly by smart contracts. This technology essentially bridges the gap between ML, AI, and the blockchain. 

The Most Effective Way to Use ML in Your dApps

As the demand for onchain artificial intelligence (AI) grows, so does the need for a system that can bridge ML inferences on-chain. Zero-knowledge machine learning (zkML), a recently developed suite of cryptographic technologies, can prove that an ML inference originated from a particular model. 

To deliver on this demand, we’ve developed a Machine Intelligence Network, powered by Spectral’s unique validation mechanism in addition to zkML that can bridge the gap between ML and smart contracts, and usher in what we’re calling the Inference Economy: an incentivized system that rewards machine intelligence miners, protects their intellectual property (IP), and generates ML inference feeds to be consumed directly by smart contracts.

Modeling with Spectral: A Deep Dive into Our First Challenge and Modeling Process

Our platform kicks off with a problem significant to many in web3: how to build a decentralized credit score to improve capital efficiency on-chain. We’re offering $100,000 to top participants whose models’ ability to predict liquidation risk can meet our performance benchmarks. In addition, top participants will earn an 85% share of all revenues from consumption calls made for their model’s inferences. 

Our First Challenge: Creating a Web3 Credit Score

While traditional finance relies on credit scores to gauge the risk of default, decentralized finance (DeFi) has been largely dependent on over-collateralization (i.e. the equivalent of a secured credit card). An effective on-chain credit score would improve capital efficiency and create a more inclusive, efficient DeFi ecosystem that could one day surpass traditional financial institutions.