Welcome to AFI

AFI (Artificial Financial Intelligence) builds Proof-of-Reserve infrastructure for Real-World Assets — unlocking institutional-grade yield that’s fully composable in DeFi.

It provides the foundational architecture for transparent, auditable, and composable financial instruments that connect on-chain liquidity with off-chain collateral.

Our Mission

To make every on-chain asset provably backed and productively deployed.

The future of finance lies in verified transparency — where every token, vault, and yield source is cryptographically proven, not just promised. AFI bridges the gap between Real-World Assets (RWA) and DeFi by providing an auditable foundation for yield generation and collateral verification.

Our Vision

The financial system is shifting toward a world where real-world assets, yield instruments, and institutional capital move on-chain. But this transition cannot scale without verifiable trust guarantees.

AFI’s vision is to provide the standard verification infrastructure for this new financial era — an infrastructure layer where:

  • Every tokenized asset is backed by provable reserves, not delayed attestations.

  • Every yield-bearing instrument is solvency-constrained by math, not belief.

  • Every DeFi integration relies on programmatic assurance, not counterparty risk.

  • Every institution can deploy capital with audit-grade transparency, in real time.

AFI aims to ensure that the next trillion dollars of tokenized assets are trust-minimized, composable, and cryptographically verifiable.

By anchoring both off-chain reserves and on-chain supply to a tamper-resistant Proof-of-Reserve framework, AFI creates a financial environment where transparency is default, solvency is enforceable, and tokenized assets can circulate safely across the global on-chain economy.

This is the foundation required for RWAs and DeFi to scale together — not as parallel systems, but as a unified, verifiable financial ecosystem.


Learn More

You can explore AFI’s architecture, vault mechanics, and integrations throughout these documentation pages or by visiting the website: https://www.afiprotocol.ai


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We welcome feedback, partners, and contributors.

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