[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 threat evaluation, credit score scoring, and predictive modeling to Plume’s RWA ecosystem, enhancing on-chain monetary intelligence for asset issuers, lenders, and institutional individuals.
Pond makes a speciality of decentralizing AI mannequin growth and enabling AI coaching on onchain and off-chain monetary knowledge. With 3,000+ builders and a analysis workforce 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 threat evaluation, NAV predictive pricing, and extra.
AI-Powered Danger Intelligence
By way 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.
- Below-Collateralized Lending Evaluation – AI-driven analysis instruments to investigate borrower pockets conduct and asset legitimacy, serving to inform lending selections and insurance coverage underwriting.
- NAV Predictive Value Feeds – AI-generated every day Web Asset Worth (NAV) projections, enhancing pricing accuracy for tokenized real-world belongings and making value discovery extra environment friendly.
“AI is turning into important for monetary infrastructure, and tokenized real-world belongings are not any exception,” mentioned Teddy Pornprinya, Co-founder of Plume Community. “Pond’s capacity 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 threat 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, via this partnership, Pond is bringing cutting-edge AI to Plume’s 180+ RWAfi initiatives—powering threat administration, buying and selling intelligence, sybil detection, and past.
This can be a main step ahead in bridging AI and RWAfi, providing superior threat 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 gives a composable, EVM-compatible surroundings for onboarding and managing various actual world belongings. Coupled with an end-to-end tokenization engine and a community of economic 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 via collaborations with notable organizations and initiatives such because the Ethereum Basis, Base, NEAR, and others. Pond offers a complete AI infrastructure and product stack, overlaying on-chain knowledge processing, mannequin growth, deployment, and inference.
With a developer neighborhood of three,000, Pond allows a decentralized mannequin growth 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 advice techniques.
Customers can be taught extra at https://cryptopond.xyz/ or comply with updates at https://x.com/PondGNN.
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