Atoma Network provides a decentralized compute layer that enables verifiable AI inference through a modular stack and a novel Sampling Consensus protocol, ensuring integrity and transparency in AI interactions. This infrastructure addresses the limitations of existing blockchains in handling resource-intensive AI tasks, allowing developers to create secure and personalized AI applications efficiently.
Funding
Funding not disclosed
Founders
Product
Problem
Current blockchain infrastructures struggle to efficiently handle the computational demands of AI inference, hindering the development of secure and personalized AI applications. Existing centralized AI solutions also raise concerns regarding data privacy, transparency, and control.
Solution
Atoma Network provides a decentralized compute layer designed for verifiable AI inference, leveraging a modular stack and a sampling consensus protocol to ensure integrity and transparency. The network offers developers the tools, SDKs, and infrastructure needed to create secure, personalized AI applications. By providing access to local, edge, and cloud compute, including Trusted Execution Environments (TEEs), Atoma guarantees privacy and security at every stage of AI processing. This infrastructure enables verifiable AI at scale, allowing users to access leading open-source models while safeguarding user data and model intellectual property.
Target Audience
Atoma Network targets AI developers and Web3 developers seeking a decentralized, private, and verifiable compute layer for building AI-powered applications.
Features
- Sampling Consensus protocol and Trusted Execution Environments (TEEs) for verifiable AI inference
- Access to leading open-source AI models, including Llama 3.1 405B and Mixtral
- Privacy-preserving compute to safeguard user data and model intellectual property
- Support for intent-driven interfaces for natural interactions between humans, AIs, and dApps
- Optimized performance to maximize the efficiency of every node in the network
- Smart contract integration to enhance blockchain applications with AI capabilities
- AI Agent deployment for building and launching AI agents capable of Web2 and Web3 interaction
- Ethical data scraping for responsible web data collection practices