Q. What market opportunity did you identify at the time of founding?

For a long time, OOH advertising has been a “black box.”

Even though advertising on major billboards in areas like Gangnam or COEX can cost hundreds of thousands of dollars per month, no one could clearly answer how many people actually saw the ads or how effective they were for specific target audiences.

Telecom-based foot traffic data only shows who passed by—not who actually viewed the ad.

We wanted to bring the same level of performance measurement—such as CTR and reach—commonly used in digital advertising into the offline world, giving advertisers true ownership of their data.

Q. What differentiates your technology from competitors?

Our key differentiator is privacy-preserving edge computing.

Unlike traditional surveillance systems that transmit video data to servers, our AI operates directly on edge devices. Video data is immediately discarded after analysis, and only anonymized metadata—such as “male, 30s, 5 seconds of viewing time”—is transmitted.

This on-premise architecture enables immediate deployment in regions with strict privacy regulations, such as Europe (GDPR) and Japan, without controversy.

In addition, our system offers exceptional scalability, as it minimizes server load even when operating tens of thousands of devices simultaneously—an area where competitors struggle to match.

Q. What real-world PoC (Proof of Concept) results have you achieved?

One of our most notable cases is our collaboration with GS Retail.

By implementing our solution across major GS25 convenience stores nationwide and delivering targeted advertising content, we observed an overall increase in sales. In particular, certain beverage categories saw significant growth.

By dynamically adjusting advertisements based on the viewer’s age and gender in real time, we were able to directly prove, through receipt data, how strongly purchase conversion rates can be influenced.

This demonstrates that offline advertising can evolve beyond simple exposure into a performance-driven marketing tool that directly drives sales.

Q. What outcomes did you achieve through the Deep Tech Value-Up Program?

Through the program, securing a strategic partnership with GS Retail—one of Korea’s largest retail infrastructure operators—was a turning point for our business.

It allowed us to utilize premium digital signage locations in major metropolitan areas as testbeds, significantly enhancing our technological maturity—something nearly impossible for a startup to achieve independently.

Beyond media performance analysis, quantifying offline metrics such as customer movement patterns and dwell time has enabled us to uncover valuable new insights.

Q. Your global expansion seems very active. What is your current status?

Our growth in Japan over the past year has been particularly strong.

We have signed large-scale supply contracts with major railway operators such as Shizuoka Railway and Nankai, and established an MOU with NEC Networks & System Integration, a subsidiary of NEC Group, for joint AI video analytics development.

We have also partnered with Hoshino Resorts, Japan’s leading resort operator, to provide solutions for facility congestion analysis and personalized marketing.

In Europe, major retail chains are showing strong interest in our on-device processing model, which does not transmit video data externally.

In Southeast Asia, we have secured a foothold by signing four MOUs with leading media companies in Vietnam.

With our recent Pre-Series A funding, we plan to establish a Japan office and accelerate the development of global standard metrics.

Q. How do you see the future of offline advertising in the AI era?

As long as people continue social interactions, offline spaces will never disappear.

Instead, they will evolve into premium environments where high-value consumers engage in meaningful experiences.

Our goal is to transform OOH advertising from a passive display medium into an interactive data platform.

Ultimately, we aim to build a Programmatic DOOH ecosystem—where offline ads, like online ads, dynamically respond in real time to the audience present and prove their performance.

We are creating an “offline cookie”—a system that interprets human behavior through anonymized data—enabling every experience in physical space to be converted into measurable value.