[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 deliver 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 makes a speciality of decentralizing AI mannequin improvement and enabling AI coaching on onchain and off-chain monetary knowledge. With 3,000+ builders and a analysis group 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 Danger Intelligence
By means of 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 knowledge and on-chain transaction historical past to evaluate the well being and creditworthiness of tokenized real-world belongings.
- Underneath-Collateralized Lending Evaluation – AI-driven analysis instruments to research borrower pockets conduct and asset legitimacy, serving to inform lending choices and insurance coverage underwriting.
- NAV Predictive Value Feeds – AI-generated day by day Web Asset Worth (NAV) projections, bettering pricing accuracy for tokenized real-world belongings and making value 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 knowledge 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 provides a composable, EVM-compatible atmosphere for onboarding and managing numerous actual world belongings. Coupled with an end-to-end tokenization engine and a community of monetary infrastructure companions, Plume simplifies asset onboarding and allows 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 be taught extra at https://plumenetwork.xyz/ or comply with 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 supplies a complete AI infrastructure and product stack, masking on-chain knowledge processing, mannequin improvement, deployment, and inference.
With a developer neighborhood of three,000, Pond allows 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 methods.
Customers can be taught extra at https://cryptopond.xyz/ or comply with updates at https://x.com/PondGNN.
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