Sovereign AI Access Company Forms Decentralized AI Steering Committee with 0G Labs and Manifest Network
September 20th, 2025 12:41 AM
By: Advos Staff Reporter
The Sovereign AI Access Company has established a Decentralized AI Steering Committee with 0G Labs and Manifest Network to standardize and vertically align the blockchain-based AI industry, creating interoperability standards that could challenge big tech's dominance in AI infrastructure.

The Sovereign AI Access Company has appointed 0G Labs and Manifest Network as founding members of its Decentralized AI Steering Committee and Treasury, marking a significant step toward standardizing the rapidly evolving blockchain-based AI industry. The committee comprises industry leaders working at the intersection of AI and blockchain, each representing distinct components of the DeAI technology stack.
Manifest Network will represent the DeAI Compute sector, while 0G Labs, the parent company of the 0G blockchain, will represent DeAI Training. The collaboration between 0G, a decentralized Layer1, and Manifest Network, a decentralized Layer0, exemplifies the vertical alignment that aims to benefit both projects and the broader industry according to Sovereign AI Access Company CEO John Sarson.
The DeAI Steering Committee seeks to achieve interoperability and commercialization of decentralized AI platforms, applications, and agents. As recognized leaders in decentralized AI, both companies bring next-generation blockchain solutions to market. 0G's AI-optimized blockchain operating system enables unprecedented large-scale AI model training directly on-chain for the first time, introducing essential speed, scalability, and robust process controls that establish new guardrails for the AI sector.
Manifest Network's "Sovereign Soldiers" have developed and deployed a first-of-its-kind distributed, enterprise-grade AI server network. Its permissionless compute network provides the security and performance of private AI infrastructure while maintaining the ease-of-use and on-demand scalability of traditional cloud services available at manifest.network.
The Sovereign AI Access Company serves as an implementation and commercialization team for projects in its Treasury, enabling infrastructure deployment at scale, strategic investment, and broad investor participation in the DeAI economy. The carefully curated Steering Committee provides strategic direction for the broader DeAI community with the ability to directly assist and incentivize projects to adopt technical standards set by the committee.
Eric Bravick of Manifest Network emphasized that this initiative focuses on "creating durable infrastructure and interoperability standards that will allow DeAI to grow outside the boundaries of big tech and centralized clouds. We are designing a system that benefits developers, operators, and institutional partners alike."
As a Layer1 provider, 0G Labs has pioneered the first high-speed, low-latency blockchain optimized for AI workloads, with a token-driven ecosystem supporting applications, agents, and trusted execution environments. Together with other steering members, 0G and Manifest will steward capital allocations, set technology standards, and drive ecosystem adoption and expansion.
John Sarson, CEO and Founder of the Sovereign AI Access Company, views this as a turning point for decentralized AI, stating that combining public company structure with real-world infrastructure deployment creates a framework supporting both innovation and collaboration. Sarson Funds, Inc. serves as the company's financial partner and Treasury manager, assisting with capital market transactions, compliance, and operational support through its organized team of veteran Web2 and Web3 operators.
Committee members share a vision that fair and open access to AI and compute will be fundamental to protecting personal liberty. According to DeAI Steering Committee member W. Reed Baum, effective decentralized, permissionless networks represent humanity's best chance to preserve individual access to private AI solutions in a landscape where training AI models can cost hundreds of millions of dollars.
Source Statement
This news article relied primarily on a press release disributed by Reportable. You can read the source press release here,
