LinqAlpha Wins Best AI Solution at the 2026 Hedge Fund Services Awards

June 25, 2026

LinqAlpha, an AI company focused on developing a multi-agent AI system for public markets, has been named the Best AI Solution at the 2026 Hedge Fund Services Awards, as announced by the company.

The Hedge Fund Services Awards celebrate service providers that promote innovation, operational excellence, and sustainable growth within the hedge fund industry. An independent panel composed of senior industry leaders, including COOs, CFOs, CTOs, CCOs, and General Counsel from prominent investment firms, selects the winners.

LinqAlpha received this recognition for its innovative use of AI to enhance institutional investment workflows. The company's multi-agent platform enables investment firms to convert fragmented market intelligence, research, meetings, and proprietary data into a searchable institutional knowledge base.

Supporting investment workflows across various asset classes such as equities, macro, credit, and multi-asset strategies, LinqAlpha is utilized by over 70 financial institutions in North America, Europe, and Asia.

"This award is a strong validation of our vision to build the AI operating system for public markets," stated Hojun Choi, Co-Founder and CEO of LinqAlpha. "Investment professionals face an overwhelming volume of information every day. We believe the future of investment research is not a single AI assistant but teams of specialized AI agents working alongside investors as an institutional second brain. We are honored to be recognized by With Intelligence and grateful to the clients who continue to partner with us as we build that future."

LinqAlpha is based in New York and was co-founded by former Goldman Sachs analysts and MIT computer science PhDs. The company has been recognized by TechCrunch and Forbes for its performance in industry benchmark evaluations, outperforming both NVIDIA and OpenAI. Currently, more than 70 financial institutions utilize the LinqAlpha platform to support their investment research and decision-making processes.

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