[PRESS RELEASE – New York, United States, March 20th, 2025]
Plume, the primary full-stack L1 RWA Chain, has partnered with Pond, an AI-powered platform for collaborative mannequin creation, possession, and monetization. This partnership will carry AI-driven danger evaluation, credit score scoring, and predictive modeling to Plume’s RWA ecosystem, enhancing on-chain monetary intelligence for asset issuers, lenders, and institutional members.
Pond focuses on decentralizing AI mannequin improvement and enabling AI coaching on onchain and off-chain monetary information. With 3,000+ builders and a analysis crew with expertise from WeChat, TigerGraph, and Yuga Labs, Pond brings institutional-grade AI to Plume’s ecosystem—powering on-chain actuary fashions, under-collateralized lending danger evaluation, NAV predictive pricing, and extra.
AI-Powered Threat Intelligence
Via this integration, Pond will leverage Plume’s RWAfi ecosystem to develop AI fashions tailor-made for on-chain finance, together with:
- On-Chain Actuary Brokers – AI-powered fashions that analyze off-chain diligence information and on-chain transaction historical past to evaluate the well being and creditworthiness of tokenized real-world belongings.
- Below-Collateralized Lending Evaluation – AI-driven analysis instruments to research borrower pockets conduct and asset legitimacy, serving to inform lending selections and insurance coverage underwriting.
- NAV Predictive Value Feeds – AI-generated day by day Internet Asset Worth (NAV) projections, bettering pricing accuracy for tokenized real-world belongings and making worth discovery extra environment friendly.
“AI is changing into important for monetary infrastructure, and tokenized real-world belongings aren’t any exception,” mentioned Teddy Pornprinya, Co-founder of Plume Community. “Pond’s capability to combination and course of each on-chain and off-chain monetary information permits us to create AI-powered fashions that improve credit score scoring, asset valuation, and danger evaluation for RWAfi.”
Bridging AI and RWA Finance
Pond’s developer-driven AI ecosystem has labored alongside Vitalik Buterin and the Ethereum Basis on AI initiatives, publishing analysis in IEEE, Nature, ICML, and NeurIPS. Now, by way of this partnership, Pond is bringing cutting-edge AI to Plume’s 180+ RWAfi initiatives—powering danger administration, buying and selling intelligence, sybil detection, and past.
It is a main step ahead in bridging AI and RWAfi, providing superior danger modeling and credit score evaluation to unlock new monetary primitives for tokenized RWAs.
About Plume
Plume is the primary full-stack L1 RWA Chain and ecosystem purpose-built for RWAfi, enabling the speedy adoption and demand-driven integration of actual world belongings. With 180+ initiatives constructing on the community, Plume presents a composable, EVM-compatible setting for onboarding and managing various actual world belongings. Coupled with an end-to-end tokenization engine and a community of monetary infrastructure companions, Plume simplifies asset onboarding and permits seamless DeFi integration for RWAs so anybody can tokenize actual world belongings, distribute them globally, and make them helpful for native crypto customers.
Customers can study extra at https://plumenetwork.xyz/ or observe updates at https://x.com/plumenetwork.
About Pond
Pond is on the forefront of crypto AI, driving innovation by way of collaborations with notable organizations and initiatives such because the Ethereum Basis, Base, NEAR, and others. Pond gives a complete AI infrastructure and product stack, overlaying on-chain information processing, mannequin improvement, deployment, and inference.
With a developer group of three,000, Pond permits a decentralized mannequin improvement course of—from defining high-value machine studying issues to decentralized mannequin coaching and commercialization. Fashions constructed on Pond are designed to energy crypto-native purposes throughout on-chain buying and selling, DeFi, social, safety, and suggestion techniques.
Customers can study extra at https://cryptopond.xyz/ or observe updates at https://x.com/PondGNN.
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