0G ecosystem secures $290m to build decentralized AI operating system

Zero Gravity Labs — 0G Labs or 0GL — has raised a substantial $40 million seed investment from major venture capital firms, following a $35 million pre-seed earlier this year. 

Alongside this, the 0G Foundation, which oversees the governance of the 0G Protocol, has secured a $250 million liquid line and token purchase commitment. This brings the total committed capital to $325 million, according to a press release shared with crypto.news.

The funding rounds drew notable investors, including Hack VC, Delphi Digital, OKX Ventures, Samsung Next, Animoca’s Yat Siu, Stanford Blockchain Fund, and Coinbureau, among others.

The $250 million liquid line, available to the 0G Foundation, provides flexibility for future project and ecosystem support, with access to digital assets on exchanges at OTC rates.

Michael Heinrich, co-founder and CEO of 0G Labs, emphasized the need for decentralization in AI development. 

“AI is transforming every facet of our lives, but its development has been largely centralized, raising concerns about transparency and control…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.”

Michael Heinrich

Pioneering decentralized AI with dAIOS

As a decentralized AI operating system, dAIOS aims to bridge web3 and artificial intelligence. Optimized for data availability, dAIOS will manage extensive data processing without bottlenecks, ensuring high data throughput and real-time AI computations on-chain. This scalability will allow dAIOS to handle up to 50 GB of data per second, fostering an environment where massive datasets can be securely and efficiently processed.

Decentralized AI solutions like dAIOS are becoming increasingly relevant amid rising concerns over data privacy, AI monopolization, and security breaches.

By operating directly on-chain, 0G’s solution offers a transparent and secure infrastructure for AI applications. It enables an inference layer that processes data in real time, providing insights without needing off-chain operations.