Grace Investment Machine (GIM), an AI-native investment technology company developing agentic systems for capital markets, has raised $20m in Series A funding as it moves its autonomous investing technology into live execution.
The round was co-led by a US venture capital firm and Hony Capital, with participation from IDG Capital and existing investor Monolith Capital. The raise marks GIM’s third funding round within its first year of operations.
GIM is developing agentic AI systems designed to support investment decision-making by generating, testing and refining market hypotheses through continuous feedback loops. Unlike traditional AI tools focused on research assistance, the company’s technology aims to create systems capable of adapting investment strategies based on real-world market outcomes.
The company said capital markets provide a unique environment for training agentic AI, as investment decisions generate measurable results that can be used to improve future performance.
GIM’s technology focuses on two areas, foundation models designed for capital market environments and multi-agent systems that generate and validate trading signals through layered reasoning processes. Its research paper, CogAlpha, which outlines a seven-layer agent architecture for converting market data into actionable insights, was accepted to the ACL 2026 main conference with an Oral recommendation.
GIM founder and CEO Jiahao Xu said, “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.”
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