LinqAlpha, the AI-native company building the “Alpha Intelligence Layer” for global public markets, has raised $22 million in Series A funding in July 2026.
Founded by Jacob Choi, Subeen Pang, Jin Kim, and Hojun Choi, the New York-headquartered company brings together former Goldman Sachs analysts and MIT computer science PhDs. It now serves more than 70 financial institutions across the U.S., Europe, and Asia, including buy-side clients that collectively manage over $5 trillion in assets. With the new capital, LinqAlpha is deepening its push into the APAC region, having established its first subsidiaries in Singapore and Hong Kong.
TNGlobal spoke to Jin Kim, Co-founder and Head of Forward Deployed Engineering at LinqAlpha, about how AI is reshaping institutional investing, the company’s regional strategy, and what an “army of AI agents” means for the analysts who use them.
Below are the edited excerpts:
How is AI transforming institutional investing and giving financial firms a competitive edge?
Think of Bloomberg in the 1990s: Everyone had the terminal, yet returns diverged wildly, because the edge was never the tool. It was the same what each firm did with it. We’ve made “what each firm does with it” the product itself. AI is shifting the scarce resource from information access to the quality of questions and the speed of connecting the dots.
What are the opportunities and challenges of AI adoption across Asia-Pacific’s financial sector?
The opportunity is that the Asia-Pacific (APAC) region lacks AI-native solutions, which makes Hong Kong and Singapore a natural place to start. As APAC institutional clients’ level of sophistication continues to evolve, they are looking for vertical finance AI solutions that meet their expectations around production-grade quality and precision. In turn, this is the factor that is driving demand for LinqAlpha.
The challenge is that much of the industry still relies on legacy platforms and data-centric solutions that were not designed for agentic AI. While many incumbents are adding AI capabilities, integrating them into existing architectures and workflows remains difficult.
As a result, many firms are still trying to bridge the gap between AI experimentation and enterprise-scale deployment. LinqAlpha’s focus is helping institutions close that gap and achieve real business outcomes. We were built for global coverage, Asian languages, and multi-asset support from day one.
What is LinqAlpha’s regional growth strategy following its Series A funding?
After this round, LinqAlpha is one of the largest and fastest-growing AI-native finance startups specializing in capital markets.
Among the new generation of agentic AI research platforms, we believe we’re the first to put dedicated client and solutions people on the ground here. This ground is not a sales outpost, but a team that co-designs deployments with regional institutions.
We are expanding into multi-asset and multi-data coverage: first, moving beyond equities to cover credit, macro, and commodities, and second, encompassing not only fundamental and market data but broader datasets such as social media, prediction markets, and other alternative data. Within Asia, we currently cover a full range of clients, from investment banks and asset managers to family offices and retail trading platforms.
How are hedge funds, asset managers, and investment banks leveraging AI to gain a competitive advantage?
The users getting real value aren’t running ad-hoc AI queries as they’re embedding AI agents into daily workflows across legal, accounting, and finance. They build competitive advantage through three layers:
1. Daily-workflow usage: morning briefings, alerts, and meeting-preparation agents that work proactively before the day begins, rather than relying on ad hoc Q&A.
2. Expansion within accounts: initial pilots and team-level deployments scaling into multi-seat, cross-functional adoption.
3. Integration depth: clients moving from the app to API access, building the AI agents into their own systems.
LinqAlpha’s key strengths include:
1. Depth and precision: powered by its proprietary investment-reasoning engine.
2. Token optimization: enabling organizations to hedge their token-cost exposure while achieving their objectives at a high “return on tokens.”
3. Enterprise-grade controls: providing role-based access controls and secure, compliant AI.
LinqAlpha can enable portfolio managers to “work at a superhuman level with the support of an army of AI agents.” Humans will be liberated from mundane tasks and pushed to orchestrate groups of agents capable of emulating a human manager’s depth of thinking, entering an era of accelerated and augmented thinking.
LinqAlpha has established its first APAC subsidiaries in Singapore and Hong Kong. Why Singapore and Hong Kong are the first destinations?
Hong Kong and Singapore are our biggest markets, with brokers like CLSA and OCBC, as well as buy-side clients like Maybank Asset Management, leveraging AI to generate cutting-edge insights. Most AI tools were focused primarily on US markets and had a poor understanding of the local context in APAC and emerging-market capital markets. LinqAlpha is different because we have been global from day one, focusing on global coverage, Asian languages, and multi-asset support.
LinqAlpha raises $22M Series A to build AI layer for institutional investors