Collaboration combines Algorized's people-sensing foundational edge-AI models with ASUS's industrial-grade edge platform to accelerate full-stack AIoT innovation

Algorized announced that it has joined the ASUS AIoT Alliance Program, a global ecosystem of innovators advancing industrial IoT and edge intelligence. The partnership combines Algorized's software-defined edge-AI infrastructure stack with ASUS IoT's validated PE1100N Intelligent Edge AI System, creating turnkey, full-stack solutions for smart factories, logistics hubs, healthcare, and connected infrastructure.

Algorized introduces its people-sensing edge-AI stack to the program—a software-defined foundational AI models built for rapid response times, flexible deployment, and real-time adaptation. It focuses on detecting people, monitoring vital signs, assessing stress levels for wireless devices, and human-machine classification. By processing raw data directly on the data-driven wireless sensors, the foundational edge-AI models remove the need for cloud reliance, ensuring a latency of just 20 milliseconds for human presence detection in safety- and mission-critical settings.

This edge-AI architecture unlocks scalable orchestration across distributed devices, making it suitable for robotics, industries, logistics hubs, automotive and smart spaces. Built for scalable deployment utilizing existing sensors infrastructure, the foundational edge-AI models surpass traditional computer vision by embedding intelligence directly into the infrastructure—enabling machines to perceive, interpret, and respond to people in complex, ever-changing environments for safer and more efficient human-machine interaction.

The collaboration leverages ASUS IoT's robust edge AI hardware portfolio—anchored by the validated PE1100N Intelligent Edge AI System with NVIDIA Jetson™ Orin™. Together with Algorized's foundational edge-AI models, the ASUS IoT PE1100N delivers a market-ready reference platform for scalable, full-stack AIoT deployments.

Highlights of the Collaboration

• Edge AI + Perception Intelligence: Delivering on-device inference for people sensing and robot-machine classification
• Edge-Native Infrastructure: Built for rapid data processing and dynamic deployment utilizing existing sensors infrastructure.
• End-to-End AIoT: Combining Algorized's perception edge-AI foundational models with ASUS IoT's industrial hardware into turnkey solutions for robotics, smart factories, logistics hubs, and connected spaces.

"By joining forces with ASUS, we are aligning our people-sensing edge-AI foundational models with ASUS IoT industrial-grade edge platforms such as the PE1100N to deliver truly end-to-end AIoT solutions," said Natalya Lopareva, CEO and Co-Founder of Algorized. "This partnership accelerates our mission to bridge the perception gap between humans and machines, enabling safe human-machine collaboration at scale."

"We are pleased to welcome Algorized to the ASUS AIoT Alliance Program," said Silvia Kuo Business Development Director of ASUS AIoT Alliance Program. "Algorized's advanced people-sensing perception AI and expertise in edge-AI complement our hardware portfolio, with the PE1100N demonstrating how validated edge platforms create powerful, full-stack solutions that drive digital transformation across industries."