LinqAlpha, an AI company building “Alpha Intelligence Layer” for global public markets, has raised $22 million in Series A funding anchored by AVP, Atinum Investment, and GFT Ventures.
In a statement on Thursday, LinqAlpha said the round also had the participation of strategic participants, including 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 and Securities, Shinhan Venture Investment, and Hana Ventures in South Korea; and NuVentures in India.
The new capital will fund expansion of LinqAlpha’s global team, deeper integrations across market and alternative datasets, and acceleration of its multi-agent platform across equities, macro, credit, and multi-asset strategies.
Since launch, the platform has seen rapid adoption, serving over 70 financial institutions across the United States, Europe, and Asia, including sell-side sales, trading, and research teams at leading investment banks, as well as buy-side clients including Causeway Capital Management and Schonfeld Strategic Advisors. LinqAlpha’s buy-side clients manage more than $5 trillion in assets.
LinqAlpha enables institutional teams to deploy specialized AI agents that learn each user’s unique investment framework, synthesizing thousands of market signals into differentiated judgment before consensus catches up.
Hojun Choi, co-founder and co-CEO of LinqAlpha, said the first wave of AI in finance made analysts faster, while the next wave changes what they can know, with the edge no longer coming from retrieving information but from systems that surface market-moving signals before they are priced in.
“Most AI tools in finance help professionals retrieve information faster or automate repetitive work,” said Manish Agarwal, General Partner at AVP. “LinqAlpha is addressing a larger opportunity: building systems that help institutional investors discover differentiated insights in public markets that reward speed, context, and proprietary judgment.”