{"id":6992,"date":"2026-04-16T19:55:36","date_gmt":"2026-04-16T10:55:36","guid":{"rendered":"https:\/\/pacific-meta.co.jp\/en\/?p=6992"},"modified":"2026-04-16T20:52:20","modified_gmt":"2026-04-16T11:52:20","slug":"pacific-meta-develops-autofund-an-ai-agent-driven-autonomous-asset-management-product-and-begins-test-operations-with-company-funds","status":"publish","type":"post","link":"https:\/\/pacific-meta.co.jp\/en\/news\/announcement\/6992","title":{"rendered":"Pacific Meta Develops “AutoFund” \u2014 An AI Agent-Driven Autonomous Asset Management Product \u2014 and Begins Test Operations with Company Funds"},"content":{"rendered":"\n
\"\"<\/figure>\n\n\n\n

Pacific Meta, Inc. (Minato-ku, Tokyo; CEO: Shota Iwasaki) has developed “AutoFund,” an asset management product that uses AI agents to autonomously execute transactions on the blockchain, and has begun test operations using company funds.<\/p>\n\n\n\n

As part of this initiative, the company is exploring potential collaborations with financial institutions and asset management firms to address regulatory, audit, and operational design considerations.<\/p>\n\n\n\n

[Note] This announcement is not intended as an investment solicitation or investment advisory service. Regulatory and legal considerations related to this initiative are being reviewed and organized in consultation with external experts.<\/p>\n\n\n\n

Overview of AutoFund<\/h2>\n\n\n\n

AutoFund is an asset management product in which AI references on-chain data and other sources, then makes rebalancing decisions and executes trades end-to-end based on market conditions<\/strong>. In the test operations, the company allocates assets for operations to AutoFund, where the AI agent references on-chain data and executes asset rebalancing in response to market conditions.<\/p>\n\n\n\n

Transaction targets, conditions, and maximum amounts are pre-configured, and the AI’s execution is limited to within these parameters. This design allows the company to verify whether it is possible to automate decision-making and execution while maintaining controlled operations. Future service models will be considered based on the progress of regulatory and legal reviews.<\/p>\n\n\n\n

Why “AI \u00d7 Blockchain” Asset Management Matters<\/h2>\n\n\n\n

1. Why Blockchain Is Essential for AI-Driven Asset Management<\/h3>\n\n\n\n

On the blockchain, AI can directly move assets through programs. In traditional finance, humans needed to go through banks and securities firms, but blockchain removes this constraint, enabling automation from decision-making to execution. Furthermore, all transactions are recorded in a tamper-proof manner, and anyone can verify the AI’s operational behavior. AutoFund adopts blockchain to establish “autonomous AI execution,” “transparency,” and “permission controls” as a unified system.<\/p>\n\n\n\n

2. The Growth of On-Chain Data Continuously Improves AI’s Operational Accuracy<\/h3>\n\n\n\n

All transaction data on the blockchain is public and structured data that AI can read directly. As more activity moves on-chain, the volume of data available for AI learning increases, improving the accuracy of operational decisions. In traditional financial markets, transaction data was siloed within each company’s internal systems, but on the blockchain, it is publicly available worldwide \u2014 a structural advantage for AI-driven asset management.<\/p>\n\n\n\n

3. Humans Alone Cannot Monitor 24\/7\/365 Markets<\/h3>\n\n\n\n

On-chain financial markets operate around the clock globally. It is physically impossible for humans to simultaneously monitor hundreds of investment targets and continuously move assets at optimal timing. Autonomous monitoring, decision-making, and execution by AI agents has the potential to make operational capabilities \u2014 previously available only to specialist teams at major financial institutions \u2014 accessible to a broader audience.<\/p>\n\n\n\n

AutoFund’s Technical Architecture<\/h2>\n\n\n\n

Safe (Smart Contract Wallet)<\/h3>\n\n\n\n

A wallet for storing and moving assets used in test operations.<\/p>\n\n\n\n

Allowance Module (Safety Mechanism)<\/h3>\n\n\n\n

Sets on-chain operational limits per time period, ensuring transactions are executed only within the permitted range.<\/p>\n\n\n\n

AI Agent (Operator)<\/h3>\n\n\n\n

The AI agent references real-time data, performs comparative analysis across multiple investment targets, and within constraint parameters, makes condition-based decisions and automatically executes rebalancing.<\/p>\n\n\n\n

This AI agent is built on Coinbase Developer Platform (CDP) AgentKit<\/strong>.<\/p>\n\n\n\n

By utilizing CDP Managed Wallet, the company has adopted a configuration where private keys are not held directly on its servers.<\/p>\n\n\n\n

Operational Flow and Feature Overview<\/h2>\n\n\n\n

Note: All screen captures, videos, wallet addresses, amounts, and transaction data shown in this article are demo data and do not represent actual operational results.<\/em><\/p>\n\n\n\n

Note: The following features are continuously being updated. Features may be added, changed, or consolidated.<\/em><\/p>\n\n\n\n

1. Flow from Setup to Launch (Envisioned for Future Deployment)<\/h3>\n\n\n\n

1.1. Setting the Investment Policy \u2014 Instructing the AI on “How to Manage”<\/h4>\n\n\n\n

AutoFund’s greatest feature is the ability to configure investment policies in detail beforehand. Through a guided UI, users can intuitively customize the following items:<\/p>\n\n\n\n