Liner Finance launches AI research agent for public equities

Liner has launched Liner Finance, an AI agent that synthesises filings, news and market data for US and Korean public companies and ETFs.

Two grey rectangular devices, each with a glowing green circular light, stand on a reflective white surface against a bright white background.

Liner, the San Francisco and Seoul-based AI research platform, has launched Liner Finance, an AI-powered research agent designed to help individual investors navigate public company data. The product aggregates SEC filings, earnings reports, analyst consensus targets, company news and macroeconomic context into structured reports, covering US and Korean equities as well as ETFs. Information is refreshed approximately every 20 minutes, reflecting a research rather than trading orientation.

The company is positioning Liner Finance explicitly as a comprehension tool rather than an advisory one. It does not produce buy or sell signals; instead it presents multiple analytical perspectives derived from publicly available materials. That framing is likely deliberate: AI-generated investment recommendations fall under securities regulation in both the US (SEC) and South Korea (FSC/FSS), and products that cross the line into personal financial advice face registration obligations that a pure information aggregator can sidestep.

Guru Mode and the competitive field

A feature called Guru Mode is one of the more distinctive elements of the launch. It allows users to examine a company through the lens of well-known investors, drawing on publicly available interviews, letters and educational writings to illustrate how figures such as Warren Buffett or Peter Lynch have historically evaluated businesses. The company is careful to describe this as providing "additional analytical perspectives rather than prescriptive advice", which keeps it within the research-tool framing.

The competitive landscape for AI-assisted financial research is becoming increasingly crowded. Established data vendors including Bloomberg, FactSet and S&P Global Market Intelligence have each introduced generative AI layers atop their existing terminal and API products. A number of well-funded startups are also pursuing the retail end of the market, offering AI-generated summaries of earnings calls, filings and analyst notes. Liner's differentiation rests on its broader evidence-first research identity, citation-backed outputs and its dual coverage of US and Korean markets, which is unusual and likely reflects its Seoul co-headquarters and user base in East Asia.

Regulatory and compliance read-across

The decision to avoid making investment recommendations is practically significant. In the US, tools that provide personalised investment advice for compensation are required to register as investment advisers under the Investment Advisers Act of 1940. The SEC has signalled growing scrutiny of AI tools that blur the line between information and advice, and the agency's February 2025 guidance on AI in investment contexts noted that neutral framing does not automatically confer safe-harbour status. Liner Finance will need to maintain that distinction clearly as the product evolves.

"The ability to understand information should not be limited to professional investors," said Luke Kim, chief executive of Liner. "Liner Finance helps organise complex public information so more people can efficiently research companies and better understand the factors influencing financial markets."

Liner Finance is available now on the Liner web and mobile platforms. The company did not disclose the number of existing Liner users, pricing for Liner Finance, or which data providers supply the underlying market and filing feeds. Those details will be relevant to assessing the product's commercial traction in the near term, alongside any announcements about additional market coverage beyond the current US and Korean scope.