The Artificial Superintelligence (ASI) Alliance has announced the launch of ASI:Chain public DevNet, providing early access to developers interested in building autonomous systems on a layer 1 blockDAG, specifically designed for AI-native decentralized applications.
ASI:Chain Debuts in DevNet: What You Need to Know
According to the official statement from The Artificial Superintelligence Alliance, a joint venture of Fetch.ai, Singularity Net and CUDOS, its blockchain network ASI:Chain has reached the DevNet stage.
https://t.co/DOhxskhO9O
– Artificial Superintelligence Alliance (@ASI_Alliance) November 24, 2025
The ASI:Chain architecture directly addresses several issues that have arisen in the technology industry, generally resulting from the extremely rapid expansion of the AI sector: limitations in the quantity and capacity of infrastructure, security fragility due to excessive centralization, and issues with data privacy and sovereignty.
SingularityNET and ASI’s CEO Dr. Ben Goertzel, AI pioneer, explains the importance of the DevNet release for the entire segment of AI agents in Web3:
The ASI:Chain architecture offers a new approach to solving the ‘blockchain trilemma’ – the seemingly unsolvable riddle of scalability, security and decentralization all in one computer network. ASI:Chain solves this by integrating decentralization and security into the universal infrastructure and then achieving scalability by using different consensus mechanisms on different parts of the network depending on their purpose. So a shard that does high-frequency trading gets one consensus mechanism, a shard that runs a mesh network for use in the developing world in regions with unreliable internet gets another, etc.
Blockchain-based infrastructure in principle offers routes around these problems by enabling new forms of decentralized AI computing, but in practice, historic blockchain platforms have suffered from their own serious limitations.
They are designed for token transfers and simple smart contracts, not for the complex coordination, reasoning and concurrency requirements of autonomous AI systems.
Bringing autonomous AI agents into the chain
This new chain emerges at a critical moment, when autonomous actors make the transition from research projects to production systems. Most large enterprises have already deployed agentic solutions for production workflows across finance, supply chain, and operations.
Gartner predicts that within the next 36 months, the share of enterprise software that incorporates AI will increase to 33%. Yet the current blockchain infrastructure remains fundamentally out of alignment with these requirements.
The DevNet phase provides early-stage developer access, where the ASI:Chain team can gather real-world feedback before moving on to the testnet phase. Instead of relying on simulations, developers can deploy applications in a live environment. They can validate the blockDAG consensus model, stress test the infrastructure under real workloads, and provide critical feedback to refine the ecosystem.