SEOUL, South Korea--(BUSINESS WIRE)--Nov 27, 2025--
STRATIO, a deep-tech company operating between Silicon Valley and Seoul, officially launched its LS SWIR SDK with the world’s first Germanium (Ge)-based short-wave infrared (SWIR) sensor.
This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20251127656686/en/
This milestone furthers the company’s vision “Advance Vision with Infrared-AI™” — a new way of seeing beyond human and conventional visible sensor limits.
Unlike traditional visible sensors, STRATIO’s technology captures spectral information invisible to human eye. This breakthrough introduces a new kind of AI—Infrared-AI™—built entirely on signals unique to STRATIO’s sensors.
JaeHyung James Lee, CEO of STRATIO, said, “Infrared-AI™ is not just another algorithm — it’s AI built on data that only we can create, and we believe it is a paradigm shift to Infrared-AI era. By combining our Ge SWIR technology with AI, we make the invisible visible — enabling smarter, more sustainable decisions across industries.”
From Waste to Worth — the real-world impact of Infrared-AI™
STRATIO’s Infrared-AI™ Solution unifies sensor, data, and AI in a vertically integrated architecture, already redefining how industries see and manage the world around them:
In sustainability, the Infrared-AI™ Solution identifies black, contaminated, or composite plastics with over 95 % accuracy, raising recycled-material purity and drastically reducing time in sorting waste.
Within smart appliances, Infrared-AI™ can power devices to recognize materials and freshness on their own — optimizing energy use and extending product life.
In agriculture and food technology, Infrared-AI™ measures soil carbon, crop maturity, and food quality in real time, enabling sustainable, data-driven decisions.
Together, these applications embody STRATIO’s philosophy of “From Waste to Worth” — using STRATIO’s infrared technology beyond human vision to discover new value in what was once discarded or unseen.
LS SWIR SDK — making Infrared-AI™ accessible to everyone
The LS SWIR SDK is STRATIO’s newest all-in-one Infrared-AI™ device, combining Ge-based SWIR sensing with built-in analysis software.
Ready right out of the box, it lets users instantly capture and interpret invisible spectral data—no lab setup or deep technical expertise required.
Compact, accurate, and easy to use, the SDK opens the door for innovators in sustainability, smart appliances, agriculture, and consumer electronics to explore infrared vision firsthand.
Now available, experience the simplest way to see beyond the visible and build your own Infrared-AI™.
(Learn more at https://linksquare.io/order/ )
A global vision for a visible future
With dual operations in Silicon Valley and Pangyo Techno Valley, STRATIO connects frontier R&D with advanced manufacturing to expand its Infrared-AI™ ecosystem worldwide.
The company continues to broaden its influence across consumer electronics, agriculture, and public safety — showing how its unique spectral data and AI can make daily life smarter, safer, and more sustainable.
In 2026, the company plans to unveil its SWIR HD image sensor, designed to extend Infrared-AI™ into the automotive and mobile markets — making it possible for vehicles, smartphones, and robots to truly “see the unseen.”
STRATIO aims to surprise the world by showing how invisible data can power a new generation of intelligent vision.
Looking ahead to CES 2026
STRATIO will take the stage at CES 2026 in Las Vegas to showcase its next breakthrough: the LS SWIR mini, an even smaller and more power-efficient version of its current platform.
Designed to fit into everyday devices, the LS SWIR mini embodies STRATIO’s vision of bringing Infrared-AI™ to everyone, everywhere.
Discover how seeing the unseen could reshape the way the world sees itself.
Infrared-AI™ uses Germanium (Ge)-based short-wave infrared (SWIR) sensor to capture spectral information invisible to the human eye — revealing what things are made of, not just how they look (Image: STRATIO, INC.)
