Zero Gravity Labs (0GL) has completed a $290 million funding round to support the development of its decentralized AI Operating System (dAIOS). This total includes a $40 million seed round and a $250 million liquid token purchase agreement, bringing the total committed capital for the0G ecosystem to $325 million.
The round was backed by a mix of prominent investors, including Hack VC, Polygon, Animoca, Delphi Digital, and OKX Ventures, alongside blockchain industry figures like Yat Siu and Sandeep Nailwal, pushing the number of backers involved in the 0G ecosystem to Over 200.
The 0GL project aims to address concerns in AI development related to privacy, data security, and control. By creating a decentralized infrastructure for AI operations, dAIOS will allow for on-chain AI computation, enabling the processing of data at speeds of up to 50 GB per second. This eliminates the need for off-chain processing, which often results in bottlenecks and slower performance in traditional systems.
Michael Heinrich, CEO and co-founder of 0GL, highlighted the importance of decentralization in AI: "With dAIOS, we're building an open and decentralized AI Operating System that ensures security, transparency, and accessibility. This funding will allow us to accelerate our mission."
The $250 million liquid token purchase agreement offers the 0G Foundation the flexibility to draw on digital assets as needed, allowing for continued project development and ecosystem growth. The funds are intended to accelerate both technical advancements and community building.
The dAIOS is designed to operate within the Web3 ecosystem, focusing on infinite scalability, efficient data availability, and verifiability. It also aims to create an infrastructure that allows AI applications to run in a decentralized, secure, and transparent environment, providing a solution to some of the key challenges faced by current AI systems.
The funding is intended to facilitate the growth of 0GL’s team, adding expertise in both AI and blockchain technology to advance the platform’s capabilities. Furthermore, the company plans to engage with academic institutions and other industry leaders to continue developing its decentralized AI ecosystem.