Algorized closed a $13 million Series A on February 10, 2026 to scale its Predictive Safety Engine for physical AI systems. Run Ventures led the round, with participation from the Amazon Industrial Innovation Fund, Acrobator Ventures, and existing investors.

The company is attacking a specific factory automation constraint: robots and industrial machines often slow or stop when people enter shared work areas. Algorized says its edge-AI models turn wireless sensing infrastructure into human-aware perception so machines can sense human presence, intent, and movement in real time rather than reacting only after a safety threshold is crossed.

The company layer runs through sensing research rather than robot hardware. MWC Barcelona lists Natalya Lopareva as Algorized CEO and co-founder and ties the company's approach to four years of proprietary research with Zurich University of Applied Sciences on ultra-wideband radar. Venturelab described Algorized as a Swiss startup developing people-sensing software for UWB sensors.

The Series A followed a product visibility step at CES 2026. Algorized said the Predictive Safety Engine had a breakthrough debut with KUKA and ASUS and that funding would support commercial expansion, intent-prediction models, and engineering/support hubs in Switzerland and Silicon Valley.

Algorized competes less with robot builders than with the safety and sensing stack around them: light curtains, scanners, zones, and industrial safety systems from companies such as SICK, Pilz, Omron, and Keyence. Those systems are built around reliable machine stopping and guarded areas. Algorized's pitch is that wireless, edge-native human sensing can make safety more predictive and less binary, letting machines respond to presence, motion, and intent before a hard stop becomes the only option.

Algorized's strategic bet is that safety perception becomes part of robot productivity rather than a compliance add-on. If human-aware sensing lets robots operate closer to people without defaulting to stop-and-wait behavior, the company can position predictive safety as a capacity layer for factories, warehouses, and smart machines that need higher throughput in shared human-robot spaces.

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