AAlgorized offers a software-only platform that turns existing wireless sensors like UWB, mmWave, and Wi-Fi into people-sensing devices. Its edge AI processes sensor data to detect presence, locate people, track movement, and monitor vital signs without cameras or wearables. The main product, Predictive Safety Engine, acts as an edge-based intelligence layer for Physical AI to improve safe human–robot collaboration in industrial automation and in-vehicle occupancy detection. The company differentiates itself by repurposing commodity sensors, delivering edge AI software through enterprise SaaS and hardware partnerships, with a goal to increase safety, reliability, and efficiency in shared environments while expanding Physical AI across robotics, automotive, and smart infrastructure.
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Industries
Company Size
11-50
Company Stage
Series A
Total Funding
$17.4M
Headquarters
Etoy, Switzerland
Founded
2022
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Total Funding
$17.4M
Meets
Industry Average
Funded Over
3 Rounds
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Algorized is presenting its Algorized Foundation Model (AFM) at the 9th China International Import Expo in Shanghai, from November 5 to 10. It is an invited guest in the startup area hosted by BMW Technology Office China, which does not imply any collaboration or endorsement. AFM uses standard Wi-Fi, UWB or mmWave sensors and runs on the device itself. It detects, tracks and distinguishes people, and picks up breathing and heartbeat, even through darkness, smoke and dust. Because it relies on wireless signals alone, people stay anonymous. Uses include robots that adjust speed near workers, and buildings that adapt heating and cooling to occupancy. China installed 354,000 industrial robots in 2025, 59% of the global total, according to the International Federation of Robotics. At the stand, AFM runs live on data from one sensor.
Algorized has partnered with Asahi Kasei Microdevices (AKM) to integrate its edge-AI foundation model with AKM's AK581xAIM millimetre-wave radar for elderly care monitoring and industrial safety applications in Japan and globally. The system processes raw radar data at the edge to detect sub-millimetre chest movements for breathing and heart rate monitoring, track posture changes and distinguish human presence from background activity. The radar functions through dust, darkness and obstacles without cameras. The technology enables three capabilities: real-time human tracking for autonomous mobile robots and forklifts, privacy-preserving people counting in high-traffic areas, and continuous monitoring of posture, presence and vital signs in care environments. All functions run on a single foundation model with sub-100 millisecond latency. Algorized is backed by the Amazon Industrial Innovation Fund.
Physical AI start-up Algorized secures USD 13 million Series A funding. 11.02.2026 Algorized transforms standard wireless sensors infrastructure into reliable human-aware perception moving the industry beyond "detect-and-stop" systems toward machines with true physical awareness. The capital from the Series A round accelerates the global rollout of a new standard in industrial robotics. While generative AI has mastered language, Physical AI must master the world of people and objects. Algorized foundation models leverage existing infrastructure of wireless sensors such as Ultra-Wideband (UWB), mmWave, and Wi-Fi to digitize environments using physics, not pixels. By analyzing micro-motions and vital signs directly at the edge, Algorized enables Physical AI to interpret human presence and intent with ultra-low latency. This allows robots to "see" through occlusion, dust, and darkness - navigating complex, shared human environments while eliminating unnecessary stops. "The biggest bottleneck in Physical AI is the latency tax," said Natalya Lopareva, CEO & Co-Founder of Algorized. "In a factory or a warehouse, a 100-millisecond delay can be the difference between a fluid workflow and a costly emergency stop. We've built an edge-native engine that gives machines the instinct to operate around people in real time. The goal is to ensure the line doesn't stop because the intelligence is already there - on the floor, where it belongs." Scaling the 'Aware Machine' Following its breakthrough debut with KUKA and ASUS at CES 2026, Algorized is now deploying with major automotive and industrial leaders in Europe and the U.S. The Series A funding will focus on: * Commercial Expansion: Scaling deliveries of the Predictive Safety Engine to meet signed demand across industries. * Technical Sovereignty: Advancing proprietary intent-prediction models that serve as the foundation for human-robot collaboration. * Global Operations: Expanding engineering and support hubs in Switzerland and Silicon Valley to serve Tier-1 manufacturing partners. Backed by the Amazon Industrial Fund The Series A funding round of $13M was led by Run Ventures, with participation from the Amazon Industrial Innovation Fund and Acrobator Ventures, as well as continued support from existing investors. "Algorized is defining the category of Physical AI perception and predictive safety," said PT Ungvichian, Partner at Run Ventures. "Most safety tech is an insurance policy; Algorized is a growth asset. By enabling robots to operate at full speed in shared spaces, they unlock billions in latent capacity. It's rare to see a deep-tech solution with this level of immediate commercial ROI."
Algorized raises $13M in Series A funding. February 10, 2026 Algorized, an Étoy, Switzerland-based company developing layer services for Physical AI, raised $13M in Series A funding. The round was led by Run Ventures, with participation from the Amazon Industrial Innovation Fund and Acrobator Ventures, and existing investors. The company intends to use the funds for: * Commercial Expansion: scaling deliveries of the predictive safety engine to meet signed demand across industries. * Technical Sovereignty: advancing proprietary intent-prediction models that serve as the foundation for human-robot collaboration. * Global Operations: expanding engineering and support hubs in Switzerland and Silicon Valley to serve Tier-1 manufacturing partners. Led by CEO Natalya Lopareva, Algorized is a deep-tech startup developing advanced, software-only people-sensing and perception AI. The company focuses on turning existing, low-cost, off-the-shelf, and wireless sensors (such as Ultra-Wideband/UWB, mmWave, and Wi-Fi) into "Predictive Safety Engines". 10/02/2026
Algorized, a company building intelligence infrastructure for physical AI, has closed a $13 million Series A round led by Run Ventures, with participation from the Amazon Industrial Innovation Fund and Acrobator Ventures. The startup has developed the Predictive Safety Engine, an edge-AI system that enables industrial robots to perceive human presence and adapt in real time. The technology uses existing wireless sensors like Ultra-Wideband and mmWave to analyse micro-motions and vital signs, allowing robots to operate at full speed in shared human environments without unnecessary stops. Founded on Swiss research in through-wall human detection, Algorized is deploying with automotive and industrial clients across Europe and the US. The funding will support commercial expansion, development of proprietary intent-prediction models, and operations in Switzerland and Silicon Valley.
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Industries
Company Size
11-50
Company Stage
Series A
Total Funding
$17.4M
Headquarters
Etoy, Switzerland
Founded
2022
Find jobs on Simplify and start your career today
Don't see your dream role? Check out thousands of other roles on Simplify.Browse all jobs