GIM (Grace Investment Machine) announced it has raised $20 million in Series A funding to accelerate development of its AI-native investment technology platform focused on autonomous, agentic investing systems.
The financing round was co-led by a leading U.S. venture capital firm and Hony Capital, with participation from IDG Capital and existing investor Monolith Capital. The investment marks GIM’s third funding round within its first year of operations.
GIM is developing agentic AI systems designed to move beyond traditional investment research assistants by enabling AI to independently generate, test, and refine investment hypotheses using market data, coordinated AI agents, and continuous feedback loops. The company refers to this approach as a “Visionary Machine,” where AI systems continuously improve investment decision-making through real-world market execution.
According to GIM, capital markets provide an ideal environment for machine learning because every investment hypothesis can be translated into action and evaluated through measurable outcomes. This creates a continuous learning cycle that enables AI systems to improve over time based on real market feedback rather than static historical data.
The company is advancing both foundation AI models designed specifically for capital markets and multi-agent systems capable of generating, validating, and refining investment signals through multiple layers of coordinated reasoning.
GIM also highlighted its research progress, noting that its flagship paper, CogAlpha, was accepted as an oral presentation at the ACL 2026 main conference. The paper introduces a seven-layer agent architecture that transforms raw financial data into actionable investment signals.
Beyond institutional investing, GIM said its long-term vision includes developing investment products that broaden access to AI-generated returns. The company believes self-improving intelligence can become a widely shared financial asset through products serving both institutional investors and individuals.
The new funding will support continued AI research while expanding live validation of the company’s AI-driven investment strategies across multiple asset classes and global markets.
KEY QUOTE:
“We believe investment AI is moving from information assistance to autonomous hypothesis generation and testing. GIM is building systems that can reason across market data, evaluate signals through feedback, and improve over time in real-world capital markets.”
Jiahao Xu, Founder and CEO of GIM
