Grace Investment Machine (GIM), an AI-native investment technology company focused on building agentic systems for capital markets, has secured $20 million in Series A funding as it prepares to deploy its autonomous investment technology in live trading environments.
The funding round was co-led by a U.S.-based venture capital firm and Hony Capital, with additional participation from IDG Capital and existing investor Monolith Capital. The investment represents GIM’s third funding round within its first year of operation.
GIM is developing agentic AI systems that enhance investment decision-making by continuously generating, testing, and refining market hypotheses through feedback-driven learning. Rather than serving solely as research assistants, the company’s AI models are designed to adapt investment strategies based on real-world market performance and evolving conditions.
The company’s technology is built around two core areas: foundation models tailored for capital market applications and multi-agent systems that generate and validate trading signals using layered reasoning techniques. GIM’s research paper, CogAlpha, which introduces a seven-layer agent architecture for transforming market data into actionable investment insights, was accepted to the ACL 2026 main conference with an Oral recommendation.
