AI-native investment technology firm Grace Investment Machine (GIM) has officially closed a $20 million Series A funding round.
AI-native investment technology firm Grace Investment Machine (GIM) has officially closed a $20 million Series A funding round. The milestone investment represents the startup’s third successful capital raise within its first 12 months of operations.
The financing round was co-led by Hony Capital alongside a prominent, unnamed US venture capital firm, with key participation from IDG Capital and existing backer Monolith Capital. The newly acquired capital will directly fund GIM’s transition from theoretical modeling into live market execution across global capital markets.
Founded by CEO Jiahao Xu, GIM is positioning its technology as a structural paradigm shift in institutional wealth management aiming to advance financial AI from a basic research assistant into an autonomous actor.
Traditional quantitative models rely on static, human-coded parameters while standard AI models merely summarize external data. GIM’s proprietary system autonomously generates, tests and refines fresh investment hypotheses based on real-time market streams.
The startup targets capital markets as the ideal training ground for advanced AI, because every machine decision generates a measurable rapid real-world outcome. The software utilizes these continuous feedback loops to independently sharpen its underlying logic and trading parameters.
GIM’s underlying engine is built on its peer-reviewed flagship paper CogAlpha which introduces a sophisticated, seven-layer agent architecture designed to systematically transform raw unstructured market data into actionable trading signals. The paper earned an Oral recommendation at the ACL 2026 conference.
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Operationally,GIM is deploying its capital to scale its custom foundation models which are trained explicitly on high-frequency financial time-series data alongside multi-agent reasoning layers capable of collaborating to capture market alpha.
While the primary commercial focus targets institutional-grade asset management, leadership highlighted a long-term goal of “Shared Prosperity.” Management plans to leverage the self-evolving software architecture to build investment vehicles accessible to individual retail investors, aiming to democratize access to advanced compounding AI tools and prevent high-performance trading intelligence from becoming the exclusive monopoly of elite Wall Street hedge funds.
