
ASI Alliance Review: A deep dive into the Fetch.ai, SingularityNET, and CUDOS partnership building AI, compute, data, & AGI tooling.
Author: Akshat Thakur
Published On: Sun, 16 Nov 2025 08:59:51 GMT
The ASI Alliance Review explores one of the most ambitious transformations in the decentralized AI landscape: the unification of Fetch.ai, SingularityNET, and CUDOS under a single coordinated ecosystem aimed at accelerating the path toward Artificial General Intelligence (AGI) and, ultimately, Artificial Superintelligence (ASI). This alliance forms the largest open‑source, decentralized collective in AI research and development, challenging the dominance of Big Tech and offering an alternative pathway for building ethical, transparent, and community‑governed AI systems.
At the core of the initiative is the belief that advanced AI including agents, generative systems, neural‑symbolic models, and large‑scale compute networks should not be controlled by centralized corporations. Instead, the ASI Alliance Review highlights how this partnership combines years of technical innovation, research depth, and decentralized infrastructure into a single interoperable ecosystem. With ASI: Create, Learn, Train, Data, Compute, and Zero, the alliance aims to deliver a full-stack AI DePIN architecture capable of powering industries ranging from drug discovery and finance to climate modeling and autonomous systems.
The merger of tokens, technologies, and teams positions the ASI Alliance as a force capable of driving open AI development at global scale. This ASI Alliance Review examines the problems centralized AI faces today and how this new decentralized AI superstructure aims to solve them.
The unified ASI token aligns incentives across every layer of the decentralized AI stack.
The Artificial Superintelligence Alliance (ASI) token, originally under the FET ticker (with a planned rename to ASI), was formed through the merger of Fetch.ai (FET), SingularityNET (AGIX), and Ocean Protocol (OCEAN) in 2024, with later integrations like CUDOS. The initial total supply post-core merger (FET, AGIX, OCEAN) was set at 2,630,547,141 tokens. This distribution was designed to fairly allocate tokens based on the valuations and holder bases of the merging projects, using specific conversion ratios to ensure equitable transitions for all participants.
Subsequent mergers, such as with CUDOS, increased the total supply to 2,714,384,546 tokens (capped max supply), with new tokens minted and distributed via fair conversion rates and vesting schedules to promote long-term alignment and prevent immediate dumps. Vesting typically involved linear releases over periods like 3 months for CUDOS.
Ocean Protocol officially exited the ASI Alliance on October 9, 2025, due to disagreements over vision, governance, token management, and operational issues, including accusations of unauthorized conversions and market impacts. This withdrawal partially unwound Ocean’s integration but did not fundamentally alter ASI’s overall supply cap or core mechanics, though it affected the practical distribution and future conversions from the OCEAN segment.

Exchange Listings:
Liquidity:
The alliance brings together three influential teams:
The ASI Alliance brings together expertise in agents, neural-symbolic AI, decentralized compute, token engineering, and advanced research. Together, this creates one of the strongest technical teams in Web3.

| Project | Core Focus & Innovation | Architecture / Stack | Compute / Data / Agents | Performance & Notes |
|---|---|---|---|---|
ASI Alliance | Largest decentralized AI superstructure combining AGI research, multi-agent intelligence, decentralized compute, and data provenance into a unified ASI ecosystem. | Complete 6-layer AI DePIN stack: Create, Learn, Train, Data, Compute, Zero. Unified token + cross-project interoperability. | Decentralized GPU compute, tokenized data markets, agent protocols, open-source models, neural-symbolic AI, ledgerless L0 interoperability. | Full-stack AI ecosystem, not just compute or models. Positioned for AGI development; highest decentralization and modularity in Web3 AI. |
|
| ||||
Bittensor (TAO) | Incentivized decentralized machine learning network focused on model training markets and subnet economy. TAO halving in December 2025. | Modular subnet architecture for specialized ML tasks and incentives. | Provides model training competition, but lacks agents, data provenance, and robust compute resources. | Strong incentive economy but narrower scope than ASI; unified AGI stack missing. |
|
| ||||
|
|
The ASI Alliance Review reveals how this coalition of Fetch.ai, SingularityNET, and CUDOS represents one of the most ambitious attempts to democratize Artificial Superintelligence. By merging compute, data, agent frameworks, decentralized infrastructure, and cross-domain AI development, the alliance provides a path toward open, verifiable, and community-governed AI systems.
Compared with centralized AI giants controlling proprietary models and data, ASI pushes for a future where creators, developers, and users participate in value generation rather than being sidelined by corporate silos. The ASI Alliance is still evolving, but its expanding toolset, multi-chain approach, and strong research pedigree position it as a credible contender shaping the next wave of decentralized AI.

Real voices. Real reactions.
| Centralized frontier-model research: GPT-x, Sora, and autonomous agents. Proprietary, corporate-controlled ecosystem. Recent releases include GPT-5.1 and open-weight models like gpt-oss-120b. |
| Closed, vertically integrated AI stack controlled by a single company. |
| No decentralized compute, no data provenance, no agent interoperability beyond API. |
| Leader in model performance but maximum centralization; limited transparency and no community co-ownership. Now experimenting with open-source releases. |
| Tokenized, decentralized GPU rendering and compute marketplace expanding into AI/ML workloads. |
| GPU marketplace for rendering + AI compute, matching demand/supply. |
| Lacks agent systems, knowledge graphs, or AGI frameworks. |
| Excellent GPU supply, but still a compute network—not a full AI ecosystem like ASI. |
| Decentralized data marketplace enabling tokenized datasets and provenance. Recently separated from the ASI Alliance (Oct 2025). |
| Data-centric architecture with compute-to-data execution. |
| Strong data ownership but lacks agents, compute infrastructure, and training stack. |
| Independent and data-focused; currently in legal proceedings related to ASI separation. |