Since our previous update on November 7 2024, when OpenGradient came out of stealth, secured seed funding, and released a series of products to build its full-stack decentralized AI platform, the company has made more significant strides. Today, OpenGradient is launching the Neuro Stack— a modular, open-sourced development framework for launching AI-enabled blockchains.
The Neuro Stack is a modular, open-source development framework that enables developers to build AI-powered appchains—custom Layer 2 (L2) networks with seamless integration into OpenGradient’s infrastructure. This network of blockchains can leverage OpenGradient’s AI capabilities, supporting a variety of use cases from secure inference and data storage to AI model interoperability and application management.
A Fully Integrated Solution
The Neuro Stack is built on OpenGradient’s HACA infrastructure and provides developers with the tools to create blockchains that can execute AI agents and applications directly on-chain. These AI-powered blockchains have access to critical resources like secure inference through technologies like Zero-Knowledge Machine Learning (ZKML) and Trusted Execution Environments (TEE), as well as SolidML precompiles for AI workflows.
The stack’s biggest advantage lies in its ability to simplify the development of decentralized AI applications. Developers no longer have to deal with the complexity of setting up TEEs, deploying models, or working with intricate ZKML libraries. Everything comes ready-to-use, enabling developers to focus on building rather than infrastructure.
Key Features and Benefits
- Seamless AI Integration: Neuro Stack chains have direct access to specialized precompiles for AI workflows and interoperability with OpenGradient’s performant AI infrastructure for inference and secure data access. This provides a plug-and-play experience for developers, eliminating the need for complex infrastructure setup.
- End-to-End Verifiability: Everything runs fully on-chain, so processes such as inference, reasoning, and retrieval-augmented generation (RAG) are end-to-end verifiable, ensuring transparency and trust-minimization for AI-driven applications.
- Developer-Centric Tooling: Developers benefit from a suite of powerful tools, including the OpenGradient SDK and AI Model Hub, to deploy, host, and inference models. These tools are fully compatible with any Neuro Stack blockchain.
- Composable AI: Developers can leverage the interoperability features built into the Neuro Stack to compose and build complex AI applications such as agent swarms or model ensembles.
Use Cases
OpenGradient is already supporting clients with devnets, building Neuro Stack chains and exploring a range of use cases:
- Infrastructure Chain: Networks that build features and customizations into their infrastructure to tackle specific verticals in AI, such as edge AI.
- Application Chain (AppChain): Appchains that use secure inference and AI workflows as an integral part of their features.
- Agent Chain: A blockchain dedicated to hosting programmable AI agents that live entirely on-chain, offering full autonomy over data access, inference, and reasoning.
Unlock the Potential of AI-Enabled dApps
As OpenGradient continues to gain traction through the Neuro Stack, the team is excited to contribute to the growth of Web3 through next-generation AI infrastructure.By creating a framework with key building blocks supporting development of decentralized AI agents, intelligent protocol optimization, and AI-focused appchains, OpenGradient is laying the groundwork for a new era of intelligent, scalable Web3 applications.
With the launch of the Neuro Stack, OpenGradient is establishing itself as a key player in the AI and blockchain space, offering new opportunities for developers and users. As the ecosystem evolves, it could make AI-powered decentralized apps a reality in ways we haven’t seen before.
