This topic covers the ecosystem of AI platforms and tooling that enable tokenized assets and Web3‑native finance: issuance and tokenization, AI-driven custody and asset management, on‑chain/off‑chain data platforms, decentralized AI infrastructure, and post‑quantum blockchain hardening. Demand for programmable asset ownership and autonomous financial agents is growing: payment system integrations that let AI agents transact (e.g., Visa Intelligent Commerce) create new flows for wallets and custody, while enterprise AI platforms and governance stacks are being repurposed to operate and supervise digital‑asset workflows. Key tools and categories: AI‑integrated wallet development (example: Fire Bee Techno Services’ Aptos‑focused wallet builds) bridges smart contract primitives with agent APIs and UX; enterprise agent platforms (StackAI) provide no‑code/low‑code pipelines for deploying trading, rebalancing, and operational bots; cloud ML platforms (Vertex AI) supply model training, evaluation and deployment infrastructure for portfolio models and risk scoring; governance and compliance platforms (Monitaur) centralize policy, monitoring and vendor controls for regulated tokenized products. Underpinning these are AI data platforms and decentralized AI infrastructure that supply reliable on‑chain and oracle data, model provenance, and compute marketplaces. As of 2026 this field prioritizes interoperability, compliance, and cryptographic resilience: systems must interoperate with payment rails and agent commerce standards, embed formal governance for high‑value asset automation, and adopt post‑quantum cryptographic upgrades for long‑lived custody keys. The result is a layered stack—marketplaces, agent platforms, wallets/custody, governance, and data/compute—that organizations must assemble to deploy pragmatic, auditable, and future‑proof tokenized finance solutions.