Algorized raises USD 13 million to advance Physical AI for industrial robotics

Physical AI start-up Algorized has secured USD 13 million in a Series A funding round to accelerate the global deployment of its human-aware perception technology for industrial robotics. The round was led by Run Ventures, with participation from the Amazon Industrial Innovation Fund, Acrobator Ventures, and existing investors.

Algorized develops foundation models that transform standard wireless sensing infrastructure, such as Ultra-Wideband (UWB), mmWave and Wi-Fi, into real-time perception systems. Rather than relying on cameras and pixel-based vision, the company leverages physics-based signals to detect micro-motions and vital signs directly at the edge. This approach enables robots to interpret human presence and intent with ultra-low latency, even in environments affected by occlusion, dust, or low light.

The technology addresses a critical challenge in industrial automation: minimizing latency in shared human-machine environments. In sectors such as automotive manufacturing and logistics, even small delays can trigger costly emergency stops. Algorized’s edge-native Predictive Safety Engine is designed to allow machines to operate more fluidly alongside people, moving beyond traditional “detect-and-stop” safety systems.

Following its debut with KUKA and ASUS at CES 2026, the company is now deploying its solutions with major industrial players in Europe and the United States. The new funding will support commercial expansion, further development of proprietary intent-prediction models, and the strengthening of engineering and support operations in Western Switzerland and Silicon Valley.