Grace Investment Machine (GIM), a technology company specializing in artificial intelligence-driven investments, has successfully raised $20 million in a Series A funding round. The round included participation from Hony Capital and a leading American venture capital firm. Existing investors Monolith Capital and IDG Capital also participated in the investment.
This fundraising marks the third financing round for GIM within its first year of operation. The company intends to use the acquired capital to expand its operations, strengthen product development, and accelerate research in agentic artificial intelligence for capital markets.
GIM's primary focus is on creating intelligent systems that go beyond traditional investment analysis tools. Instead of merely organizing information, the company's technology independently generates, evaluates, and refines investment ideas using real-time market data and continuous feedback.
The company's platform is built around a concept it calls the 'Visionary Machine.' This concept enables AI agents to form investment hypotheses, test market assumptions, and improve future decisions based on measurable market outcomes. Every investment action generates new data that helps the system refine its logic over time.
Founder and CEO Jiahao Xu stated that investment AI is entering a new stage. Future systems will increasingly generate and validate investment opportunities autonomously, rather than just assisting analysts in gathering information. He added that GIM is developing AI capable of reasoning across various market signals and continuously improving through real-world experience. The company's technological development is focused on two key areas: developing foundational models specifically trained for financial markets.
GIM continues to actively invest in scientific research alongside product development. Their flagship research paper, CogAlpha, has been accepted for presentation at the main ACL 2026 conference with a recommendation for an oral presentation. The company's AI models are trained on financial market time series data to identify market patterns, forecast potential returns, and optimize portfolio strategies. These systems also support trade execution and liquidity management under various market conditions.
In addition to research, GIM has begun testing its AI-based investment products across various asset classes. The company plans to scale these live deployments as its technology matures. The long-term strategy extends beyond institutional investment tools; GIM also plans to create accessible investment products, allowing a wider range of users to utilize self-improving AI systems. This vision is based on the concept of 'Common Prosperity,' as the company believes that future intelligent systems should create widely accessible value, not value concentrated in a limited number of institutions.
The attracted capital brings together investors experienced in artificial intelligence, financial technology, and global capital markets. Their support will ensure further innovation as GIM expands its AI infrastructure and commercial offerings. With the new funds, GIM plans to accelerate product development, increase engineering capacity, and strengthen the deployment of autonomous AI systems in modern investment markets.
LinqAlpha has successfully raised $22 million in a Series A funding round. These funds are earmarked to accelerate the growth of its artificial intelligence platform designed for institutional investors.
The round was supported by investors such as AVP, Atinum Investment, and GFT Ventures. Additionally, several strategic financial institutions and venture platforms from Europe, Asia, and the United States participated. The New York-based company develops what it calls the Alpha Intelligence Layer for global public markets.
The platform assists investment specialists in processing complex market information using specialized AI agents. With this new funding, LinqAlpha's total raised capital has increased to approximately $28.6 million.
LinqAlpha was founded in 2022 by Jacob Choi, Subin Pang, Jin Kim, and Hodjun Choi. The founding team combines financial expertise with research in artificial intelligence. Among the founders are former Goldman Sachs analysts and MIT computer science graduates.
As public markets become increasingly interconnected, investors are forced to simultaneously track earnings reports, policy changes, supply chain events, credit markets, and social media signals. LinqAlpha believes that traditional analysis methods cannot keep up with such a growing volume of data. The platform allows investment teams to use AI agents trained on their own research history instead of relying on general language models. These agents then link new market events to previous investment ideas to generate relevant insights. One of the founders noted that the competitive advantage lies in identifying market-influencing signals even before they become widely known.
Currently, the platform is used by over 70 financial institutions. Clients include research, trading, and sales teams at major investment banks. On the buying side, clients include Causeway Capital Management LLC and Schonfeld Strategic Advisors LLC. The company initially started in Cambridge, Massachusetts, and later operated between South Korea and the United States before establishing its headquarters in New York. During this period, the business also underwent two rebrandings before adopting the name LinqAlpha.
The new funding will allow the company to expand its international staff. Management also plans to strengthen integration with market and alternative datasets. Additional investments will be directed towards implementing equity, macroeconomics, credit, and multi-asset investment strategies.
LinqAlpha is entering the competitive market of AI research platforms. Demand continues to grow as investment firms seek faster analysis without compromising their proprietary insights. According to Manish Agarwal, General Partner at AVP, many AI products focus on automating routine tasks or accelerating information retrieval. He believes that LinqAlpha helps investors find differentiated investment ideas through context-aware intelligence.
Competition remains significant, as large AI service providers have attracted significantly more funding in recent years. Nevertheless, LinqAlpha asserts that its specialized approach better meets the needs of institutional investors who seek bespoke analysis rather than standard AI outputs. Industry forecasts also point to continued expansion in financial AI, with growing adoption among banks, insurance companies, and asset managers expected to attract further investment in companies developing specialized corporate AI platforms. LinqAlpha's long-term success will likely depend on demonstrating measurable value to institutional clients operating in increasingly complex global markets.
