Avalon Labs Introduces AI-MaaS and CRT Framework
Avalon Labs has officially released the first on-chain AI model and introduced the AI-Model-as-a-Service (AI-MaaS) concept on the BNB chain. This model was developed in collaboration with an AI partner and is built on Nvidia H200 GPUs. The introduction of the Commercial Rights Tokenization (CRT) framework marks a significant regulatory advancement in tokenization strategies.
Immediate changes include the offering of commercial rights through tokenization, potentially disrupting existing models of real-world asset management. The CRT framework grants tokens legal effect, ensuring enforceable commercial rights to asset holders and thus enhancing compliance in decentralized spaces. Avalon Labs, as the Developer and Owner, stated, "Our new framework aims to bring enforceable commercial rights onto the blockchain, allowing for a compliance-focused approach to AI and RWA tokenization."
Market responses have remained largely observative, with no immediate reactions from major industry figures or regulatory bodies on record. However, the strategic alignment with leading industry standards suggests a favorable outlook from institutional participants.
BNB Chain's Performance Amidst Innovation
At 21:02 UTC on October 30, 2025, BNB experienced a 4.78% decrease over the preceding seven days, settling at $1,063.92. Its market capitalization was $146,541,851,084, according to CoinMarketCap. The trading volume reached $4,105,817,056, reflecting a 7.72% decline.

The Coincu research team recognizes the CRT framework's potential as a pivotal force for integrating real-world assets with blockchain technologies. This initiative may pave the way for compliant, tokenized asset management models, impacting future financial regulation and decentralized finance infrastructure.
Key Takeaways
- •Avalon Labs has debuted its on-chain AI model and AI-Model-as-a-Service (AI-MaaS) concept, alongside the Commercial Rights Tokenization (CRT) framework, utilizing BNB Chain's infrastructure.
- •This launch signifies a diversification of blockchain applications into real-world asset compliance through tokenization.
- •The AI-MaaS service aims to address the growing needs of decentralized infrastructure by providing on-chain AI capabilities.

