LinqAlpha raises US$22 million to expand AI agents for public-market research

LinqAlpha has raised US$22 million in Series A funding to expand its AI platform for institutional investors, with the company focusing on agents that use each investor’s own research and market view to support public-market analysis.

The round was anchored by AVP, Atinum Investment, and GFT Ventures, with participation from strategic financial institutions and venture platforms. LinqAlpha said the funding will be used to grow its global team, expand integrations with market and alternative datasets, and accelerate deployment of its multi-agent platform across equities, macro, credit, and multi-asset strategies.

AI agents shaped by investment research

LinqAlpha’s platform is built for financial institutions that need to process large volumes of market information without losing the context of their own investment approach. The company said its agents learn from each user’s investment framework, thesis history, feedback, and market view, allowing teams to apply AI to research workflows without relying only on generic model outputs.

The company describes the platform as an “Alpha Intelligence Layer” for global public markets. Its premise is that investment teams are dealing with faster and more connected signals, where supply-chain disruptions, policy shifts, social media activity, earnings calls, and credit-market movements can quickly feed into the same investment thesis.

“The first wave of AI in finance made analysts faster. The next wave changes what they can know,” said Hojun Choi, co-founder and co-CEO of LinqAlpha. “The edge no longer comes from retrieving information; it comes from systems that surface market-moving signals before they are priced in.”

The claim is that LinqAlpha’s agents can help investors move beyond faster information retrieval and towards earlier signal discovery. That is a harder task than search or summarisation, as the system has to account for each team’s prior research, assumptions, and judgement.

More than 70 financial institutions use the platform

LinqAlpha said its platform is used by more than 70 financial institutions across the U.S., Europe, and Asia. These include sell-side sales, trading, and research teams at investment banks, as well as buy-side clients such as Causeway Capital Management LLC and Schonfeld Strategic Advisors LLC.

The company said its buy-side clients collectively manage more than US$5 trillion in assets. It did not disclose its valuation, revenue, or how much each investor contributed to the Series A round.

Founded by Jacob Choi, Subeen Pang, Jin Kim, and Hojun Choi, LinqAlpha brings together former Goldman Sachs analysts and MIT computer science PhDs. The company is now headquartered in New York.

“In effect, LinqAlpha builds a second brain for every investment team: one that turns accumulated research into actionable insight across liquid public markets,” said Jacob Choi, co-founder and co-CEO of LinqAlpha. “Instead of a generic model’s average answer, each team gets agents that reason in the context of its own thesis history and evolve with its feedback and market view.”

Asia-based investors join the round

The Series A round included investors from Singapore, Hong Kong, Korea, Japan, and India, alongside the lead investors AVP, Atinum Investment, and GFT Ventures.

Participants included SBI Investment and Z Venture Capital in Japan; Betatron Venture Group, East Ventures, and SV Investment across Southeast Asia and Hong Kong; Samsung Securities, Mirae Asset Venture Investment, Mirae Asset Capital, NH Investment & Securities, Shinhan Venture Investment, and Hana Ventures in South Korea; and NuVentures in India.

The funding gives LinqAlpha more room to expand its team and data integrations, but institutional adoption will depend on how well its agents fit into existing investment processes. For users in financial markets, the practical test is whether these systems can support earlier signal discovery while preserving the control, auditability, and judgement required in professional investment research.