Grace Investment Machine (GIM) has raised $20 million in Series A funding to build agentic systems for capital markets.
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The round was co-led by a US venture capital firm and Hony Capital, with participation from IDG Capital and existing investor Monolith Capital.
Hong Kong-based GIM is building agentic AI systems designed to go beyond assisting investment research. The company describes this approach as a “Visionary Machine”: AI systems that generate, test, and refine investment hypotheses through market data, feedback loops, and coordinated agents.
The startup argues that capital markets offer a uniquely rich learning environment because every investment hypothesis can be translated into action, and every action produces measurable feedback. Over time, this closed learning loop allows intelligent systems to sharpen judgment by continuously learning from the market.
It is developing foundation models tailored to capital-market environments, as well as multi-agent systems that generate, validate, and evolve investment signals across coordinated reasoning layers.
“We believe investment AI is moving from information assistance to autonomous hypothesis generation and testing,” says Jiahao Xu, CEO, GIM. “GIM is building systems that can reason across market data, evaluate signals through feedback, and improve over time in real-world capital markets.”