Grace Investment Machine (GIM ), an investment technology company specializing in native AI solutions and building proxy systems for capital markets, announced today that it has successfully raised $20 million in a Series A funding round. The round was led by a leading US venture capital firm, along with Hony Capital , and included participation from IDG Capital and existing investor Monolith Capital . This marks GIM's third Series A funding round in its first year of operation.

GIM is developing a new generation of AI-powered proxy systems that go beyond simply supporting traditional investment research. The company describes this approach as a "forecasting machine": AI systems generate, test, and refine investment hypotheses based on financial market data, feedback-driven evaluation, and coordinated interaction with other AI agents.

Capital markets provide a rich and unique learning environment that offers continuous opportunities for learning and development. Consequently, every investment hypothesis can be transformed into an actionable decision, while every action taken generates measurable feedback. This closed loop allows intelligent systems to improve their investment decision-making capabilities over time, not by relying on past patterns, but by continuously learning from the dynamics of the financial markets themselves.

In this context, Jiahao Xu, founder and CEO of GIM, said: "Investment AI is undergoing a fundamental transformation. It is no longer just an advanced tool to help access information, but is evolving into an independent system capable of generating and testing future hypotheses." He added: " GIM is developing intelligent systems capable of analyzing financial market data and evaluating investment signals through feedback loops to improve their performance over time in real capital markets."

The company continues to develop its capabilities across two main axes: foundational models specifically designed to address the demands of capital market environments, and multi-agent systems that generate, test, validate, and continuously refine investment signals through curated layers of advanced reasoning and intelligent analysis. Its flagship paper, CogAlpha , garnered significant attention and a direct verbal recommendation at the 2026 ACL Main Conference. The paper presents a seven-layer agent architecture that mimics the various stages of the investment decision process, from extracting signals from raw data to generating usable investment signals.

GIM ’s broader ambition is embodied in its vision for shared prosperity. With the uneven and incremental development of AI systems, the company believes the question that will arise in the coming decades is who will own and harness this growth. Based on this vision, the company is investing in the long term by developing innovative financial and technological products – including tailored investment strategies for large institutions and investment tools for individual investors. Through these products, the company aims to transform self-evolving AI into a shared resource that can be widely owned and utilized, rather than remaining a limited strategic advantage held by a few.

This strategic vision was backed by investors who firmly believe in the promising potential of both artificial intelligence and capital markets. This funding round included a number of investors focused on long-term growth and value creation, with deep expertise in AI, fintech, and global markets. Alongside its research efforts, GIM is also testing and evaluating AI-powered investment strategies and products in real-world financial environments across a variety of asset classes and financial markets.

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