Physical AI startup Algorized has raised $13 million in a Series A funding round led by Run Ventures, with participation from the Amazon Industrial Innovation Fund and Acrobator Ventures, alongside existing investors. The company is developing perception technology that enables robots and industrial systems to interpret human presence and intent using wireless sensor infrastructure such as Ultra-Wideband (UWB), mmWave, and Wi-Fi.
Founded by Natalya Lopareva, Algorized focuses on edge-based AI models that analyze motion signals and environmental data in real time, allowing machines to operate safely alongside people in complex industrial environments. The funding will support global deployment of its Predictive Safety Engine, expansion of engineering operations in Switzerland and Silicon Valley, and continued development of human-robot collaboration technology following demonstrations with KUKA and ASUS.
