A plug-and-play export pathway helps regional brands reach Asia without building overseas operations
Updated
February 26, 2026 4:29 PM
Coupang headquarters in Silicon Valley. PHOTO: ADOBE STOCK
Two western Pennsylvania companies — Kate’s Real Food and Healthy Origins — are expanding beyond the U.S. through a partnership with Coupang.
Coupang, a U.S.-technology and Fortune 150 company, operates one of the largest e-commerce platforms in South Korea. It allows American sellers to reach customers overseas without setting up their own distribution networks. Businesses ship products to a domestic Coupang logistics facility. From there, the company manages storage, fulfillment and delivery directly to customers abroad.
For Kate’s Real Food and Healthy Origins, this system opens the door to new markets without requiring on-the-ground operations. Kate’s Real Food makes organic energy and protein bars. Healthy Origins is a family-owned supplements business based near Pittsburgh. Both are now selling to customers in South Korea and in Healthy Origins’ case, Taiwan as well.
That structure addresses a practical gap for growing brands: how to access international demand without building international operations. Instead of navigating foreign warehousing and retail partnerships independently, sellers plug into an existing marketplace and logistics system.
“At Coupang, we’re proud to help thousands of American small and medium-sized businesses, agricultural producers and larger brands sell their goods to customers around the world”, said Coupang vice president Bill Anaya. “We’ve built an innovative, AI-driven export engine that enables great American entrepreneurs — like those who created Kate’s Real Food and Healthy Origins — to expand their horizons, find new revenue abroad and keep growing their local teams".
For Kate’s Real Food, the move marks its entry into South Korea for the first time. For Healthy Origins, the results have been measurable. The company reports that sales of its products on the platform have increased more than 50% year over year since partnering with Coupang. It has also expanded into Taiwan.
“Partnering with Coupang has been a significant step forward for our business”, said Bret Eby, CEO of Healthy Origins. “Coupang makes it easier to deliver a great shopping experience and we’ve appreciated the collaboration and support throughout the process. Its scale, efficiency and consumer reach in Korea are unmatched and launching on Coupang allowed us to elevate our presence and connect with customers in a much more impactful and direct way”.
The broader relevance lies in the model itself. Digital marketplaces are building integrated cross-border infrastructure. That shift changes what international expansion requires. Smaller regional brands no longer need to replicate warehousing, logistics and retail partnerships in every new market. Instead, they can plug into an existing system and reach customers abroad.
In this case, two Pennsylvania companies are doing exactly that. Their expansion illustrates how platform-led trade is reshaping the path from local operations to global reach.
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Quantara AI launches a continuous platform designed to estimate the financial impact of cyber risk as companies move beyond periodic assessments
Updated
February 20, 2026 6:43 PM
A person tightrope walking between two cliffs. PHOTO: UNSPLASH
Cyber risk is increasingly treated as a financial issue. Boards want to know how much a cyber incident could cost the company, how it could affect earnings, and whether current security spending is justified.
Yet many organizations still measure cyber risk through periodic reviews. These assessments are often conducted once or twice a year, supported by consultants and spreadsheet models. By the time the report reaches senior leadership, the company’s systems may have changed and new threats may have emerged. The way risk is measured does not always match how quickly it evolves.
This gap is where Quantara AI is positioning its new platform. Quantara AI, a Boise-based cybersecurity startup, has introduced what it describes as the industry’s first persistent AI-powered cyber risk solution. The system is designed to run continuously rather than rely on occasional assessments.
The company’s core argument is straightforward: not every security weakness carries the same financial consequence. Instead of ranking issues only by technical severity, the platform analyzes active threats, identifies which company systems are exposed, and estimates how much money a successful attack could cost. It uses statistical models, including Value at Risk (VaR), to calculate potential losses. It also estimates how specific security improvements could reduce that projected loss.
The timing aligns with a broader market shift. International Data Corporation (IDC) projects that by 2028, 40% of enterprises will adopt AI-based cyber risk quantification platforms. These tools convert security data into financial estimates that can guide budgeting and investment decisions. The forecast reflects growing pressure on security leaders to present risk in terms that boards and regulators understand.
Traditional compliance and risk management systems often focus on meeting regulatory standards. Vulnerability management programs typically score weaknesses based on technical characteristics. Consultant-led risk studies provide detailed analysis, but they are usually performed at set intervals. In fast-changing threat environments, that model can leave decision-makers working with outdated information.
Quantara’s platform attempts to replace that periodic process with continuous measurement. It brings together threat data, internal system information and financial modeling in one system. The goal is to show, at any given time, which specific weaknesses could lead to the largest financial losses.
Cyber risk quantification as a concept is not new. What is changing is the expectation that these calculations be updated regularly and tied directly to financial decision-making. As cyber incidents carry clearer monetary consequences, companies are looking for ways to measure exposure with greater precision.
The broader question is whether enterprises will shift fully toward continuous, AI-driven risk analysis or continue relying on periodic external assessments. What is clear is that cybersecurity discussions are moving closer to financial reporting — and tools that estimate potential loss in dollar terms are becoming central to that shift.