Pacific Meta Develops "AutoFund," an AI Agent for Autonomous Asset Management, and Begins Test Operations with Proprietary Funds

Pacific Meta Inc. (Minato-ku, Tokyo; CEO: Shota Iwasaki) has developed "AutoFund," an asset management product that utilizes AI agents to autonomously execute transactions on the blockchain, and has begun test operations using the company's own funds.

The company is currently exploring potential collaborations with financial institutions and asset management firms to address regulatory, auditing, and operational design considerations.

[Note] This announcement is not intended to solicit investments or provide investment advice. Regulatory and legal considerations regarding this initiative are being reviewed and organized in consultation with external experts.

---

■ Overview of AutoFund

AutoFund is an asset management product where AI references on-chain data to perform end-to-end rebalancing decisions and trade executions based on market conditions. In the test phase, the company has allocated its own assets to AutoFund, allowing the AI agent to execute rebalancing based on real-time on-chain data.

The system is designed to limit AI execution within pre-set parameters, including target assets, conditions, and transaction limits. This allows the company to verify whether automated decision-making and execution can be conducted in a controlled manner. Future service models will be determined based on the resolution of regulatory and legal issues.

---

■ Why "AI x Blockchain" is Critical for Asset Management

1. Why Blockchain is Necessary for AI Asset Management

On the blockchain, AI can move assets directly via smart contracts. Unlike traditional finance, which requires human intermediaries like banks or brokerages, blockchain removes these constraints, enabling full automation from decision to execution. Furthermore, all transactions are recorded in an immutable format, allowing anyone to verify the AI's operational behavior. AutoFund utilizes blockchain to integrate "autonomous AI execution," "transparency," and "controlled authority."

2. Expanding On-Chain Data Continuously Improves AI Accuracy

All transaction data on the blockchain is public and structured for direct AI consumption. As more assets move on-chain, the volume of data available for AI learning increases, enhancing the precision of operational decisions. While traditional financial data is often siloed within internal systems, blockchain data is globally accessible, providing a structural advantage for AI-driven management.

3. Humans Cannot Monitor 24/7 Markets

On-chain financial markets operate globally around the clock. It is physically impossible for humans to monitor hundreds of investment targets simultaneously and move assets at optimal times. Autonomous monitoring, decision-making, and execution by AI agents have the potential to democratize capabilities previously reserved for specialized teams at large financial institutions.

---

■ Technical Architecture of AutoFund

Safe (Smart Contract Wallet)

A wallet used to store and move assets for test operations.

Allowance Module (Safety Mechanism)

Sets on-chain limits for operations within a specific timeframe, ensuring trades are executed only within permitted parameters.

AI Agent (Operator)

The AI agent...