Avalon Labs has taken an important step towards uniting blockchain and artificial intelligence. The company has presented a whitepaper describing the world’s first on-chain marketplace for RWA assets with AI, as well as a new concept — AI-Model-as-a-Service (AI-MaaS).
The project is supported by YZi Labs and Framework Ventures. The launch took place exclusively on the BNB Chain network.
“Today we are pleased to announce the publication of our Whitepaper — this is the industry’s first on-chain marketplace for RWA assets with AI and an AI-Model-as-a-Service platform,” the Avalon Labs team wrote on X.
A new way to access AI models
Usually, AI developers rent GPUs for training or running models. Avalon decided to take a different approach. The marketplace allows access to already trained and optimized models based on reinforcement learning.
This approach, AI-Model-as-a-Service, simplifies the use of advanced AI systems for developers and companies: no need to deal with infrastructure and complex setup.
The first model is built on GPU H200, providing fast and stable access to high-performance AI solutions.
How Avalon transfers rights from the real world to on-chain
Along with the launch of the marketplace, Avalon introduced a new standard — Commercial Rights Tokenization (CRT). This is a different take on tokenizing real-world assets (RWA), focusing not on ownership, but on commercial rights such as the right to use, access, or rent services.
Unlike classic security tokens, CRT tokenizes specifically the right to use, which is legally recognized under US commercial law (UCC, articles 7, 9, and 12). This means that holders of such tokens have legitimate, legally protected claims.
Simply put, Avalon is betting on utilitarian tokenization. The token can “embed” the right to use computing power, goods, or services in a fully legal form.
Two-tier marketplace structure
The platform itself is built on a two-tier model, familiar from traditional finance:
- Senior Allocation (sAI) — stable access to AI model rental, the rate hardly fluctuates (close to $1), aimed at low-risk users.
- Junior Allocation (jAI) — a riskier but more profitable level: it brings additional profit during periods of high demand.
Both tokens represent rental rights. This structure allows institutions to get predictable access to AI, and retail and DeFi users to participate in a more flexible model with variable returns.
A bridge between AI and DeFi
The Avalon whitepaper also describes an advanced risk management system: automatic contract monitoring, liquidity rules, and clearly defined withdrawal windows. All this makes the marketplace more transparent and secure for users.
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By combining artificial intelligence, blockchain, and real assets, Avalon Labs aims to take a key position in the emerging next-generation digital infrastructure.
The legal framework, on-chain transparency, and real use cases may set a new standard for the interaction of AI and DeFi.
