Avalon Labs has taken an important step towards integrating blockchain and artificial intelligence. The company 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.
"Today we are pleased to announce the publication of our Whitepaper — this is the first on-chain marketplace for RWA assets with AI and the AI-Model-as-a-Service platform," wrote the Avalon Labs team on X.
A new way to access AI models
Typically, AI developers rent GPUs for training or running models. Avalon decided to take a different path. 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: there's no need to deal with infrastructure and complex setups.
The first model is built on GPU H200, providing fast and stable access to high-performance AI solutions.
How Avalon translates 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 perspective on the tokenization of real-world assets (RWA) that focuses not on ownership but on commercial rights, such as the right to use, access, or lease services.
Unlike classic security tokens, CRT tokenizes the right to use, which is legally recognized under the U.S. commercial law (UCC, sections 7, 9, and 12). This means that holders of such tokens have legitimate, legally protected claims.
Simply put, Avalon bets 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 the principle of a two-tier model, familiar from traditional financing:
Senior Allocation (sAI) — stable access to AI model rentals, with a price that hardly fluctuates (close to $1), aimed at low-risk users.
Junior Allocation (jAI) — a risky but more profitable tier: it generates additional profit during periods of high demand.
Both tokens represent rental rights. This structure allows institutions to gain predictable access to AI, while retail and DeFi users can participate in a more flexible model with variable returns.
A bridge between AI and DeFi
The whitepaper also describes an advanced risk management system: automatic contract monitoring, liquidity rules, and clearly defined windows for fund withdrawals. All of this makes the marketplace more transparent and secure for users.
By combining artificial intelligence, blockchain, and real assets, Avalon Labs aims to take a key position in the emerging digital infrastructure of the new generation.
The legal framework, on-chain transparency, and real use cases can set a new standard for the interaction between AI and DeFi.
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