Zero Gravity Labs – 0G Labs or 0GL – has raised a significant $40 million in seed investment from major venture capital firms, following a $35 million pre-seed earlier this year.
Additionally, the 0G Foundation, which oversees the governance of the 0G Protocol, has secured a $250 million liquid pipeline 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 attracted interest from notable investors, including Hack VC, Delphi Digital, OKX Ventures, Samsung Next, Animoca’s Yat Siu, Stanford Blockchain Fund and Coinbureau.
The $250 million liquid pipeline 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.
“Artificial intelligence is changing every aspect of our lives, but its development has been largely centralized, raising concerns about transparency and control… With dAIOS, we are 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 artificial intelligence with dAIOS
dAIOS, a decentralized artificial intelligence operating system, aims to bridge web3 and artificial intelligence. Optimized for data availability, dAIOS will manage extensive data processing without bottlenecks, providing high data throughput and real-time AI calculations on-chain. This scalability will allow dAIOS to process up to 50 GB of data per second, fostering an environment where large data sets can be processed safely and efficiently.
Decentralized AI solutions like dAIOS are becoming increasingly important amid growing concerns about data privacy, AI monopolization, and security breaches.
0G’s solution works directly on-chain, providing a transparent and secure infrastructure for artificial intelligence applications. It enables an inference layer that processes data in real-time and provides insights without the need for off-chain transactions.