In a world where cities are becoming smarter and data more abundant by the day, the ability to analyze information the moment it is captured has evolved from a luxury into essential infrastructure. At the forefront of this transformation is EDGEMATRIX, a global pioneer in Video Edge AI, enabling real-time video analytics directly at the edge where data is generated. Under the leadership of CEO Hiroshi Ohta, EDGEMATRIX is redefining how governments, industries, and communities make decisions, shaping the smart cities of tomorrow.
The story of EDGEMATRIX begins in 2016, during Ohta’s tenure as Co-Founder of Cloudian. At the time, he was helping deploy HyperStore, a large-scale object storage platform, across Japan. He noticed something striking: deep learning for video analytics required enormous volumes of training data, and storage demands were growing exponentially. Amid this challenge, he saw an opportunity to demonstrate that video AI could have meaningful business impact.
To test the idea, Cloudian partnered with Dentsu on a groundbreaking project. They analyzed live camera feeds to identify vehicle types in real time, then dynamically updated digital billboards on highways based on detected car models. The project exceeded expectations, garnering national media attention and proving that video AI could deliver immediate, real-world value.
Buoyed by this success, Ohta’s team expanded its experiments across Tokyo, measuring traffic volumes and counting bus passengers. These early initiatives showcased the potential of video AI to solve societal challenges and eventually led to the spin-off that became EDGEMATRIX in 2019.
EDGEMATRIX was founded with a clear mission: to turn the promise of Video AI into practical solutions that improve urban life. Its platform supports scalable deployment and efficient management of AI applications across areas such as Smart Traffic, Smart Parking, Smart Logistics, and Railway Safety.
Modern cities host thousands of cameras, making real-time human monitoring impossible. EDGEMATRIX’s answer was to build AI systems capable of autonomous, 24/7 surveillance—detecting anomalies, issuing alerts, and giving users instant access to live video via their smartphones. With this approach, the company transforms ordinary cameras into proactive urban guardians.
The company’s defining insight was simple yet profound: real-time decisions require real-time processing. Cloud-based AI—no matter how powerful —cannot eliminate latency. Even a one-second delay renders true real-time applications, such as updating a billboard in milliseconds, impractical.
To solve this, EDGEMATRIX placed GPU-powered servers directly at the edge. Video is processed instantly with high accuracy and without reliance on the cloud. This breakthrough not only removed latency but also established the company’s core philosophy: edge computing is the future of real-world AI.
Over the years, EDGEMATRIX has developed a full suite of hardware, software, and applications to bring Video Edge AI to life across industries:
EDGEMATRIX excels at tailoring intelligent video solutions to the unique needs of each industry:
By converting ordinary cameras into autonomous, intelligent observers and keeping communication metadata-only, EDGEMATRIX dramatically reduces bandwidth needs while maximizing real-time accuracy.
EDGEMATRIX technologies are deployed widely across Japan and globally. Current projects include traffic optimization, railway intrusion detection, tourism crowd flow management, tunnel fire monitoring, and structural assessment after earthquakes. By minimizing reliance on cloud streaming, the company ensures higher accuracy, improved privacy, and reduced operating costs.
Looking ahead, EDGEMATRIX is preparing hybrid infrastructures that combine on-site servers and local data centers to support thousands of cameras with minimal latency and strengthened privacy. Generative AI will further enhance the platform by enabling synthetic training data, disaster-response simulations, and predictive urban planning—ushering in the next era of autonomous intelligence.
Beyond its technological achievements, EDGEMATRIX is cultivating the next generation of AI talent. Edge AI engineers, researchers, data scientists, and solution architects are building complex hybrid infrastructures, ensuring the company’s continued growth and innovation.
In 2025, EDGEMATRIX achieved No. 1 vendor share in Japan’s Edge AI Computer Solutions Market and No. 1 in AI (Deep Learning) Image Recognition Solutions, validated by Deloitte Tohmatsu MIC Economic Research Institute—clear affirmation of its market leadership.
At the center of this success is CEO Hiroshi Ohta, whose blend of engineering expertise and visionary leadership continues to guide the company forward:
“Innovation is not only about technology—it is about improving people’s lives. Every advancement brings us closer to cities that operate safely, efficiently, and intelligently.”
Guided by this vision, EDGEMATRIX is pushing the frontier of real-time edge intelligence, reshaping the cities of the future.
In an age where cities are rapidly becoming smarter and more data-intensive, the ability to analyze information the moment it is captured is no longer a luxury—it is essential infrastructure. Among the companies redefining this space, EDGEMATRIX has emerged as a global pioneer in Video Edge AI, enabling real-time video analytics directly where data is generated: at the edge.
Under the strategic leadership of President and CEO Hiroshi Ohta, EDGEMATRIX is transforming how governments, industries, and communities make decisions. What began as a single insight into the limitations of cloud computing has grown into a powerful ecosystem that is shaping the smart cities of tomorrow.
Company Name: EDGEMATRIX Inc
President & CEO: Hiroshi Ohta
Website: www.edgematrix.com
Company Name: EDGEMATRIX Inc
President & CEO: Hiroshi Ohta
Website: www.edgematrix.com
You cannot copy content of this page
