Grace Investment Machine Closes $20M Series A to Deploy Autonomous AI Across Capital Markets
Grace Investment Machine Closes $20M Series A to Deploy Autonomous AI Across Capital Markets #
Grace Investment Machine (GIM), an AI-native investment technology company headquartered across Hong Kong, Beijing, and Shanghai, has completed a $20 million Series A financing round, its third funding raise within its first year of operations, according to the company.
The round was led by Hony Capital, with existing investors Monolith Capital and IDG Capital also participating. GIM said it intends to use the capital to expand operations, accelerate product development, and deepen research into agentic artificial intelligence for capital markets.
Founded by CEO Jiahao Xu, GIM is building what it describes as a new generation of investment systems that go beyond conventional research tools. Rather than helping analysts sift through data, the company’s platform independently generates investment hypotheses, stress-tests them against real-time market signals, and refines its reasoning based on live outcomes. GIM calls this closed feedback loop its “Visionary Machine” concept. Each trade or investment action feeds back into the system, enabling it to continuously sharpen future decisions.
The company’s technical architecture centres on two parallel tracks: foundation models pre-trained on capital-market data, and a multi-agent framework in which coordinated AI layers work together to surface and validate investment signals. Its flagship research paper, CogAlpha, outlines a seven-layer agent architecture mapping the path from raw financial data to actionable investment signals. The paper has been accepted to the ACL 2026 main conference with an Oral recommendation, an unusual distinction for a company-authored paper.
GIM has begun live validation of its AI-driven strategies across multiple asset classes and markets, with plans to broaden those deployments as the technology matures. The company also says it intends to develop investment products accessible to a wider audience beyond institutional players, a goal it describes as “Shared Prosperity,” based on its stated belief that the gains from self-improving AI systems should not be captured solely by large institutions.
The raise comes as investors put more capital into AI infrastructure built specifically for finance. GIM says it is competing on the premise that autonomous systems capable of learning from live markets will be the primary edge in asset management.
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