Webull is supplying technology and content to Meritz Securities’ MOUM platform, giving Korean retail investors access to US equities, Vega AI and the Webull investor community through a locally operated brokerage service. Meritz is the first Korean securities firm to offer Webull’s AI engine and community inside its platform.
MOUM was already live before Webull issued its current account of the project, so the news is best understood as confirmation of the technology stack behind the Korean service. It turns a strategic agreement between the companies into an operating distribution channel for Webull’s products.
Webull Is Supplying Infrastructure Rather Than a Separate App
The companies first disclosed their partnership in 2025, when they said Meritz would combine its Korean presence with Webull’s global trading tools. FinanceFeeds covered that initial plan in its report on Webull and Meritz entering the South Korean market.
The live model keeps the Korean customer relationship with Meritz while placing Webull services inside MOUM. That route can reduce the need for Webull to reproduce every local brokerage function under its own consumer brand, while giving Meritz an international technology layer without developing the full stack internally.
Jack Keating, Chief Executive of Webull Technologies, said the project combines AI, social investing and US market access. Jangwook Lee, head of the Innobiz division at Meritz Securities, described the platform as the beginning of a broader partner-led investment service rather than a finished endpoint.
Vega AI Shortens the Research Workflow
Vega AI is designed to search and interpret company filings, earnings reports and market news. Its value inside MOUM is the reduction in steps between finding a company, reviewing its disclosures and moving to an order ticket.
Webull has been distributing the system across several markets. FinanceFeeds reported that Vega AI reached Webull’s 480,000 active users in Hong Kong and previously examined its personalised stock-research functions.
The assistant remains a decision-support tool rather than an autonomous portfolio manager. Investors still need to check source documents, especially where a generated answer compresses accounting detail or combines information published at different times.
MOUM Is Combining Several External Feeds
Webull Community brings discussions from a global user base into the Korean platform. That may add context around US companies that receive limited domestic coverage, but it also requires clear separation between verified reporting, analyst opinion and user-generated commentary.
Meritz has separately integrated Benzinga’s Stock News and Bulls Say Bears Say feeds. FinanceFeeds covered the two Benzinga products added to MOUM, which provide event reporting and concise opposing views drawn from analyst research.
The combined service therefore contains at least three distinct information layers: Webull’s AI tools, Benzinga’s professional content and community posts. The interface may feel unified to a customer, but the provenance and reliability of each item are different.
South Korea Becomes a Test of Webull’s B2B Model
Webull serves more than 28 million registered users across 18 markets, according to the company. Its work with Meritz shows how the group can distribute technology through established institutions as well as acquire users directly through Webull-branded brokerages.
That institutional route is also visible in Webull’s work on interoperable AI access. Its cloud Model Context Protocol service lets compatible assistants inspect authorised account information and prepare an order for customer confirmation.
The Korean service faces a practical localisation test. US disclosures, earnings calls and breaking news are produced primarily in English, while MOUM must make the information useful to Korean investors without losing the qualifications in the original material.
Webull and Meritz did not disclose customer numbers, trading volumes, economics of the partnership or whether Vega answers are generated in Korean from native-language sources or translated material. Those measures will show whether MOUM becomes a material US-equity channel or remains one of several feature-rich Korean trading applications.
The AI Layer Needs Visible Sources and Boundaries
An assistant that summarises a filing can save time, but an investor should be able to open the underlying section and see when it was published. Without visible sourcing, a confident answer may combine a current earnings release with an older annual report or omit a qualification that changes the interpretation.
The community layer creates a different risk. Popular posts can surface emerging information quickly, but they can also amplify coordinated promotion, stale claims and opinions presented as fact. MOUM needs labelling and moderation that keep those posts distinct from Webull’s generated analysis and Benzinga’s newsroom content.
Order controls provide the final boundary. Research tools may lead a user toward a security, but the platform should continue to display the instrument, quantity, price and currency exposure for confirmation before submission. The quality of that transition will decide whether MOUM feels like a coherent investing workflow or several external services placed inside one application.
Meritz also has to manage the time difference between Korea and the United States. Many US earnings releases arrive outside the Korean daytime session, making alerts, translated summaries and overnight order handling part of the same experience. Vega can compress the information, but the broker remains responsible for showing whether the relevant market is open and what order conditions apply.
The economics may determine how far the partnership expands. Webull can earn value from licensing and distribution without carrying the whole cost of local customer acquisition, while Meritz can shorten development time by buying established components. Neither side has explained fees, revenue sharing or data rights, so it remains unclear whether the model scales mainly through trading activity, technology payments or deeper product integration.
