ASUS IoT and Algorized Strategic Partnership Orchestrates Improved Perception

ASUS IoT has announced a strategic alliance with Algorized, a US-based specialist in advanced sensing and perception software. This collaboration aims to accelerate deployment of real-time, scalable AIoT solutions across global industries, combining industrial-grade ASUS edge hardware with Algorized’s high-performance perception AI.

Central to the partnership is the ASUS IoT PE1100N, powered by NVIDIA Jetson Orin, which delivers up to 100 tera operations per second for deep learning and vision tasks in rugged industrial environments. Designed for rapid wireless sensor inference, Algorized’s edge AI models, eliminate cloud reliance, delivering human presence detection in just 20 milliseconds. These solutions are poised to transform sectors like manufacturing, healthcare, logistics, and smart buildings by enabling more dynamic, reliable, and safer interactions between humans and machines.

By embedding real-time intelligence into existing sensor infrastructure, ASUS and Algorized move beyond conventional computer vision, providing scalable orchestration for robotics, autonomous vehicles, and connected spaces. Their edge-native architecture allows for flexible deployment and rapid adaptation, supporting smarter environments with enhanced safety and efficiency.

Natalya Lopareva, CEO and Co-Founder of Algorized, says: “By joining forces with ASUS IoT, we align our people-sensing AI with industry-leading edge platforms to enable true end-to-end AIoT solutions. This partnership bridges the perception gap between humans and machines, scaling safe human-machine collaboration.”

Silvia Kuo, Business Development Director at ASUS AIoT Alliance, adds: “Algorized’s expertise in edge perception AI perfectly complements our hardware. The PE1100N exemplifies how validated edge platforms drive digital transformation and full-stack industry solutions.”

With the collaboration, ASUS and Algorized are set to accelerate digital transformation, unlocking new opportunities for safety, automation, and sustainability in the AIoT era.