Pillar partners with a pool to bring in the risk intelligence of Amnesty International to Rwafi

[PRESS RELEASE – New York, United States, March 20th, 2025]

columnThe first full L1 RWA series, has partnered with it pondA platform Amnesty International to create cooperative, property, and enthusiastic models. This partnership will bring the risk evaluation of artificial intelligence, credit registration, and the predictive modeling of the PLUME ecological system, and the promotion of financial intelligence on the series of assets, lenders and institutional participants.

Pond specializes in developing the AI’s decentralized model and enabling artificial intelligence training on Onchin and financial data outside the chain. With more than 3000 developers and research team with experience from WeChat, Tigergraph and Yuga Labs, Pond AI brings an institutional degree to the mechanical system of diploma-which increases the mood models on the chain, analyzing the risk of unpaved lending, prediction prices in NAV, and more.

Intelligence risks that make artificial intelligence

Through this integration, POND will benefit from the Plume’s Rwafi’s ecological system to develop artificial intelligence models designed for financing on the series, including:

• Agents of the actuary expert on the series -Models that work from artificial intelligence that work to analyze the output data data and the date of the transaction on the chain to assess the health and merit of distinctive realistic assets.
• Equivalence under the side AI’s evaluation tools to analyze the behavior of the borrower’s portfolio and the legitimacy of assets, and to help inform the lending and insurance decisions.
• Prices predictive NAV -The value of the daily assets that were created from artificial intelligence (NAV), which improves the accuracy of pricing of assets in the distinctive real world and made the discovery of prices more efficient.

“Artificial intelligence has become necessary for financial infrastructure, and the real world’s assets are not an exception,” said Pornprinya, co -founder of Plume Network. “Bond’s ability to collect and process financial statements in the series and abroad allows us to create artificial intelligence models that enhance credit registration, asset evaluation and risk assessment of RWAFI.”

AI and Rwa Finance Dam

The work of the developer’s ecosystem in Bond alongside Vitalik Buterin and ETHEREUM in artificial intelligence initiatives, and publishing research in IEEE, Nature, ICML, and Neups. Now, through this partnership, it brings advanced POND from artificial intelligence to 180+ from Plume-RWME projects, which leads to risk management, commercial intelligence, and SYBIL discovery, and beyond.

This is a major step forward in bridging artificial intelligence and RWAFI, providing advanced risks and credit assessment to cancel new financial beginnings for the distinguished RWAS.

About column

column It is the first L1 RWA series full library and a specially designed ecological system for RWAFI, allowing rapid adoption and integration based on real global assets. By building 180 projects on the network, Plume offers a compatible environment and is compatible with EVM to move and manage the various real world assets. Besides the distinctive to one side to the end and a network of financial infrastructure partners, PLUME simplifies the assets on the plane and enables the unnoticed Defi integration for RWAS so that anyone can distinguish the real world’s assets and distribute them worldwide and make them useful for original encryption users.

Users can learn more in https://plumnetwork.xyz/ Or follow updates in https://x.com/plumnetwork.

About the blessing

pond At the forefront of Crypto AI, it leads innovation by collaborating with prominent organizations and projects such as Ethereum, Al Qaeda, near, and others. POND provides a comprehensive infrastructure and stack of the artificial intelligence product, covering data processing on the chain, developing models, publishing, and inference.

With a developed community of 3000, POND provides the process of developing decentralized models-from identifying high-value machine learning problems to training and marketing decentralized models. POND models are designed to run encryption applications via chain trading systems, Defi, social, security, and recommendations.

Users can learn more in https://cryptopond.xyz/ Or follow updates in https://x.com/pondgann.