OpenGradient operates a network for high-performance, verifiable computing specifically designed for AI applications. The platform allows users to host models, execute secure inference, and deploy agents on-chain using EVM compatibility. It provides an ecosystem including a model hub and an SDK to build verifiable on-chain AI workflows.
Funding
$9M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
AI model deployment and verifiable inference pose significant challenges for decentralized applications (dApps), hindering the development of scalable and permissionless AI solutions. Current solutions lack the infrastructure for secure hosting and execution of open-source AI models on-chain. This makes it difficult for developers to integrate AI functionalities into their dApps in a trust-minimized and efficient manner.
Solution
OpenGradient provides a decentralized platform for hosting and executing open-source AI models, leveraging EVM-compatible smart contracts and a heterogeneous AI compute architecture (HACA). The platform enables developers to seamlessly integrate AI models into dApps, offering verifiable and secure inference directly from smart contracts. OpenGradient's architecture allows for model composability, enabling the creation of complex AI applications through the combination of multiple models. By providing a decentralized infrastructure, OpenGradient empowers developers to build smarter applications with features like risk management, Sybil resistance, and ML optimization.
Target Audience
The primary target audience includes Web3 developers, dApp developers, and protocol developers seeking to integrate AI functionalities into their applications in a decentralized, secure, and scalable manner.
Features
- AI Model Hub: A web interface for hosting and uploading models without direct blockchain interaction.
- OG-SDK: Developer tools for publishing and managing model deployments.
- NeuroML EVM: Smart contracts supporting native AI inferencing on EVM-compatible blockchains.
- Heterogeneous AI Compute Architecture (HACA): Innovative architecture for scalable AI compute on-chain.
- Cryptographic verification schemes: Ensuring trust-minimized inference secured natively by the OpenGradient network.
- Model Composability: Ability to combine multiple models in smart contracts for complex AI applications.