5Y News｜GIM Closes Angel Round of Tens of Millions of RMB

GIM recently announced the completion of a tens-of-millions-of-yuan angel round, co-led by 5Y Capital and Monolith. The proceeds will primarily fund R&D iterations of its proprietary financial large language model, data and compute infrastructure, and continued expansion of its global top-tier team.

From its inception, GIM has positioned itself as a next-generation self-evolving intelligent agent investment platform, committed to building an investment machine and asset management platform for the AGI era through a multi-agent architecture. It aims to pioneer an entirely new AI asset management category and become one of the first movers exploring the Agentic Investing track.

GIM's core founding team combines deep investment practice with cutting-edge AI research capabilities — the fundamental confidence behind its focus on the intersection of AI and asset management. Founder Jiahao Xu previously served as a senior investor at Neumann Advisors, with over ten years of experience across primary and secondary capital markets, having led multiple tech projects to IPO exits. Co-founder Dr. Qi Liu is currently an assistant professor in the Department of Computer Science at the University of Hong Kong and head of its FinTech program, where he has long spearheaded frontier research at the intersection of artificial intelligence and financial markets. His research focuses on multimodal large models, with the goal of building intelligent systems capable of complex understanding, reasoning, and interaction to advance AI deployment in financial markets. He previously conducted core research at leading global institutions including DeepMind and Facebook AI Research.

Looking back at the evolution of asset management, GIM believes traditional investment research has always revolved around two core paradigms: one is quantitative investing, which models and trades based on structured data such as prices, trading volumes, and various financial factors; the other is fundamental investing, which conducts in-depth analysis around company operations and industry trends, combining unstructured information such as research reports, earnings call transcripts, and management communications.

In current industry practice, most AI applications in investment remain at the level of research assistance tools. With the rapid advancement of agent technology, the full workflow of investment research, strategy generation, and portfolio management is now facing a new opportunity to move toward automation and continuous optimization. Founder Jiahao Xu remains firmly convinced of the direction of industry transformation: "We believe AI-native asset management platforms will become an entirely new category in the industry. The first generation was defined by subjective investing exemplars like Warren Buffett; the second generation saw the rise of quantitative investing, as with Renaissance Technologies; and the third generation will be a new era where intelligent agents reconstruct the entire investment process."

Based on this core conviction, GIM has since its founding devoted itself to building foundational model capabilities, and has successfully launched its proprietary financial time-series large model. Trained on high-frequency market data and deeply modeling complex market dynamics, this model not only accurately predicts future returns across different time horizons, extracts complex features, and optimizes factor combinations, but also provides robust support in core areas such as trade execution and liquidity capture.

As scale effects and transfer learning capabilities continue to strengthen, this core competency is evolving from a specialized model toward a more general-purpose investment platform. With the technical enablement of multi-source data fusion, it is expected to further evolve into an automated investment agent covering the full chain of research, decision-making, and execution.

"From day one, our positioning has been self-evolving intelligent agent investing," Xu stated. This steadfast positioning stems both from the team's deep accumulation in traditional quantitative domains and from its core talent reserves in multimodal large models and intelligent agents. Based on the deep integration of these two core capabilities, GIM established from the outset an industrial-grade R&D and production system benchmarked against top-tier investment institutions, with full coverage of R&D pipelines, organizational architecture, and risk governance modules.

While its technical system continues to mature, GIM is also steadily advancing its domestic and overseas private securities investment fund licensing. Going forward, GIM will successively launch a series of agent-driven fund strategies and products, validating AI's transformative value for asset management through solid performance track records.

Regarding the company's original mission and industry development, Xu believes: "Financial investment carries real wealth and trust — we always approach it with reverence. Going forward, GIM will remain committed to rigorous scientific methodology and stringent discipline, leveraging AI technology to deeply integrate the extreme data capabilities of quantitative investing with the logical reasoning of fundamental research, creating long-term value for global investors."

The successful completion of this angel round represents capital markets' strong endorsement of GIM's technical approach, development philosophy, and team capabilities. Going forward, GIM will continue to deepen its presence in the AI-native asset management track, driving industry transformation through technological innovation, and steadily advancing toward becoming the next-generation asset management platform for the AGI era.

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