US$22 million in Series A funding has put LinqAlpha's finance-focused AI platform in front of more institutional investors in Asia, e27 reported, with the company saying the round matches where much of its client demand already sits.

The e27 interview said the New York-headquartered startup builds intelligence tools for institutional investors.

It named AVP, Atinum Investment and GFT Ventures as anchor backers, alongside an Asia-heavy syndicate that included SV Investment, Mirae Asset, Samsung Securities and East Ventures.

LinqAlpha Names US$22 Million Series A And Asia-Heavy Backers

e27 reported that LinqAlpha was founded by Jacob Choi, Subeen Pang, Jin Kim and Hojun Choi.

The source described the founding team as former Goldman Sachs analysts and MIT computer science PhDs, while LinqAlpha said its client base already includes more than 70 financial institutions across the US, Europe and Asia.

The company told e27 that buy-side clients including Causeway Capital Management and Schonfeld Strategic Advisors collectively manage over US$5 trillion in assets.

Those figures remain company-attributed in the interview, not independently audited customer or revenue data.

Jin Kim, LinqAlpha's co-founder and head of forward deployed engineering, told e27 that roughly half the company's revenue comes from Asia Pacific.

He said the startup runs New York for business development, Seoul as its product and engineering hub, subsidiaries in Hong Kong and Singapore, and London as the next planned market.

Financial Institutions Use Claims Remain Company-Attributed

Kim told e27 that LinqAlpha measures client depth through daily workflow use, account expansion and integration depth.

The examples he gave included morning briefings, alerts, meeting-preparation agents, multi-seat deployments and clients moving from the application to API access.

The platform is described as a multi-agent system for research teams rather than a general search tool.

Kim said LinqAlpha builds a permissioned knowledge layer around each firm's internal research, thesis history and mandate, with agents reasoning across equities, macro, credit and foreign exchange.

e27's interview also placed LinqAlpha against Bloomberg, LSEG, AlphaSense, Hebbia and Rogo.

LinqAlpha's own argument was narrower: generic AI tools can give similar answers to similar users, while its product is meant to adapt to each institution's private context.

Security Claims Centre On Permissioned Data And Audit Trails

LinqAlpha told e27 that every claim in its platform is grounded in licensed and vetted data with a citation back to source.

Kim said numbers are computed through code rather than generated by a language model, and that the company runs multiple frontier models to reduce individual model bias.

The security section stayed inside company claims.

LinqAlpha said each firm's notes, theses and research remain siloed, do not train shared models and do not cross accounts.

For institutions requiring stricter control, the company said API and MCP deployment patterns can keep agents operating inside the client's own environment.

For Asia coverage, Kim told e27 that the platform analyses 20,000+ companies across 80+ markets in 20 languages.

He said clients already track Chinese-, Korean- and Japanese-language sources, with the same architecture extending across Southeast Asia.

Revenue, Accuracy And Contract Evidence Remain Undisclosed

The interview gives LinqAlpha a funding number, named investors and named customer examples, but most operating proof remains company-supplied. e27 did not include audited revenue, contract values, retention rates, independent model-accuracy tests, pricing, security-review documents or a timetable for the planned London office.