Webull's Enterprise Pivot: Powering the Korean Rush for Wall Street

SEOUL, South Korea – October 01, 2026 — There is a quiet, relentless force reshaping global financial markets, and in South Korea, they call it the "ants." These retail investors, driven by a search for higher yields and a desire to escape domestic market volatility, have orchestrated a massive capital migration across the Pacific. As of June this year, Korean individual investors held a staggering $193.74 billion in U.S. equities—a seismic leap from a mere $4.66 billion just eight years ago.

Today, that capital flight gets a sophisticated new engine. Meritz Securities, a legacy South Korean brokerage founded in 1973, officially launched MOUM, a next-generation retail trading platform. But the true story lies beneath the platform's sleek interface: MOUM is powered entirely by Webull Corporation's proprietary artificial intelligence and global trading infrastructure.

The launch, which executes on a strategic partnership forged in November 2025, is more than just a new app hitting the Korean market. It represents a fundamental shift in how digital-native financial technology firms are monetizing their assets, and how legacy institutions are fighting to survive in an era of borderless, AI-driven day trading.

The Battle for the "Ants"

To understand why a fifty-year-old Korean financial institution is licensing foreign technology, one must look at the brutal competitive landscape of Seoul's brokerage industry. The domestic market has seen a dramatic restructuring over the past two years. Traditional leaders have been unseated by agile competitors who recognized the U.S. equity trend early.

Mirae Asset Securities recently surpassed 10 trillion won in annual brokerage revenue, driven largely by overseas stock trading, which now accounts for roughly 40% of its commission revenue. Meanwhile, digital-first upstarts like Toss Securities have captured the younger demographic—investors in their twenties and thirties—by offering frictionless fractional share trading of American stocks. In the first quarter of 2026 alone, Toss reported an overseas trading volume of 133.4 trillion won.

For Meritz, the launch of MOUM is a necessary maneuver to recapture market share. The platform targets the modern retail trader who demands more than just order execution. By integrating Webull's ecosystem, the Korean brokerage is offering direct access to U.S. markets alongside automated financial intelligence.

A standout feature of this integration is the real-time translation AI, which bridges the language gap between domestic traders and the global Webull Community. Korean users can now seamlessly interact with overseas investment discussions, parsing foreign-language market sentiment in real time. It is a calculated move to turn a solitary trading experience into a global, social enterprise.

Partner Over Build: The Legacy Brokerage Dilemma

Historically, legacy financial institutions have responded to digital disruption by attempting to build proprietary solutions in-house—a strategy that often results in bloated, outdated software arriving years too late. Meritz has opted for a different path, choosing to license a modern, battle-tested technology stack rather than embarking on a costly internal development cycle.

"MOUM is built on a simple belief: that a truly borderless investment experience is something you build together, not alone," said Jangwook Lee, EVP & Head of Innobiz Division at Meritz Securities. "Our partnership with Webull is central to that vision, connecting Korean investors seamlessly to global markets, and bringing world-class technology into a single, unified journey. This launch is not a destination, but the beginning of the future of investing we are creating with our partners."

This "partner over build" strategy allows the Korean firm to leapfrog its domestic competitors. Instead of spending years developing natural language processing models to parse U.S. Securities and Exchange Commission filings, the company simply plugged into Vega AI. Webull's proprietary investment intelligence engine is designed to aggregate and summarize earnings statements, domestic and overseas news, and complex options statistics, translating them into actionable, plain-language insights.

For a legacy firm, outsourcing the core technological infrastructure to a digital-native neobroker is an admission that the barriers to entry in financial software have become insurmountable for traditional banks. But it is also a pragmatic survival tactic in a market where retail loyalty is notoriously fickle.

Webull’s Enterprise Pivot

While the launch is a lifeline for Meritz, it is a masterclass in strategic pivoting for Webull. Known primarily as a direct-to-consumer digital investment platform with over 28 million registered users globally, the company is now aggressively monetizing its proprietary tech beyond its own branded application.

Entering foreign markets as a retail brokerage is a notoriously difficult endeavor. It requires securing local regulatory licenses, building brand awareness from scratch, and engaging in a race to the bottom on commission fees against entrenched domestic giants. By pivoting to a business-to-business (B2B) enterprise model, the technology firm bypasses these hurdles entirely.

"We're proud to power MOUM with Webull's technology, bringing together AI, social investing, and access to U.S. markets to create an intelligent and informed user experience for Korean retail investors," said Jack Keating, CEO of Webull Technologies Inc. "This launch demonstrates how our technology can help financial institutions leverage Webull services to deliver next-generation investing experiences around the world."

Through this white-labeling approach, the fintech giant transforms from a consumer app into essential market plumbing. It allows them to capture cross-border capital flows and generate revenue through licensing and infrastructure fees, all without fighting for direct consumer market share in a saturated environment like South Korea.

Navigating the Regulatory Guardrails

However, deploying an advanced, autonomous AI trading assistant across international borders is not without profound systemic risks. South Korea's regulatory landscape for artificial intelligence and cross-border data has tightened significantly in recent months, reflecting a cautious approach to algorithmic finance.

The National Assembly's "Act on the Development of Artificial Intelligence and Establishment of Trust"—which took effect in January 2026—imposes strict transparency duties on generative models. Furthermore, the Financial Services Commission (FSC) implemented revised, self-regulatory AI guidelines in June. Under these rules, AI in the financial sector must function strictly as an assistant. Fiduciary duty remains paramount, meaning human supervisors and the investors themselves must retain ultimate decision-making responsibility.

This regulatory reality shapes how Vega AI operates within the MOUM ecosystem. While the engine can build customized, real-time stock analysis reports and flag unusual options activity, it cannot act as an autonomous portfolio manager. It must serve as a highly advanced analytical tool, screening and summarizing data while leaving the final execution to the human trader.

There are also complex logistical challenges regarding cross-border data sharing and order routing. The Financial Supervisory Service (FSS) has been expanding its oversight of AI, particularly concerning investor protection for leveraged investments. To facilitate frictionless trading, the new platform utilizes an omnibus account structure, enabling non-residents to trade Korean equities through overseas brokerages and vice versa, a system that demands rigorous compliance with evolving network separation reforms.

As retail capital continues to cross borders at unprecedented speeds, the infrastructure facilitating these trades will increasingly rely on artificial intelligence. The partnership between a fifty-year-old Korean securities firm and a global fintech disruptor highlights the new reality of global finance. The winners of the next decade will not necessarily be the institutions that hold the capital, but the technology providers that build the pipes, translate the data, and quietly power the global rush for wealth.