Algorized
Category: Robotics / Embodied AI
An edge-native Physical AI platform that transforms commodity Ultra-Wideband (UWB) radar sensors into high-fidelity perception systems for human detection and vital signs monitoring. Algorized was founded in 2022. The company is led by Natalya Lopareva. Based in Étoy, Switzerland. Team size: 10-50. Total funding raised: $17.3M. Latest round: Series A. Key investors include Run Ventures, Amazon Industrial Innovation Fund, Berkeley SkyDeck, Acrobator Ventures.
- Founded
- 2022
- Headquarters
- Étoy, Switzerland
- Team size
- 10-50
- Total funding
- $17.3M
Value proposition
Enables robots and smart devices to perceive human presence and intent through occlusions (walls, smoke, darkness) using software-only upgrades to existing low-cost sensors, ensuring high precision without privacy risks.
Products and solutions
Presence Sensing Software (Human detection and tracking), Vital Signs Monitoring (Non-contact breathing and heart rate detection), In-Cabin Sensing (Automotive child presence detection), Through-Wall Perception Algorithms, Edge-Native Signal Processing Engine
Unique value
Developed a 'software-defined radar' approach that allows commodity UWB chips to perform complex perception tasks typically requiring expensive LiDAR or privacy-invasive cameras.
Target customer
Robotics OEMs, automotive manufacturers, industrial safety providers, and smart building developers.
Industries served
Robotics, Automotive, Industrial Automation, Smart Buildings & Security, Healthcare (Remote Monitoring)
Technology advantage
Edge-native processing eliminates the 'latency tax' for real-time robotics; hardware-agnostic software reduces BOM costs for OEMs; privacy-by-design architecture avoids the use of visual sensors.
How they differentiate
Algorized differentiates through a 'software-defined radar' approach. Unlike competitors who often sell proprietary hardware-software bundles, Algorized provides a hardware-agnostic, edge-native software layer that transforms low-cost, commodity Ultra-Wideband (UWB) chips into high-fidelity perception systems. This eliminates the need for expensive LiDAR or privacy-invasive cameras while reducing the 'latency tax' for real-time robotics.
Main competitors
Vayyar Imaging, NOVELDA, Xandar Kardian, Bitsensing
Key partnerships
Amazon Industrial Innovation Fund (Strategic Investor/Partner), Qorvo (UWB Hardware Integration Partner), MassRobotics (Robotics Ecosystem Collaboration), Berkeley SkyDeck (Accelerator & Strategic Network), Zurich University of Applied Sciences (ZHAW) (Research Collaboration), KUKA (Strategic Robotics Partnership - CES 2026 Debut), ASUS IoT (AIoT Alliance Program Partner - Nov 2025), Aria Sensing (UWB Radar Platform Collaboration - MWC 2026), Asahi Kasei Microdevices (AKM) (mmWave Radar Foundation Model Partnership - May 2026)
Notable customers
Amazon (Strategic Investor/Partner), Qorvo (Hardware Integration Partner), MassRobotics (Ecosystem Partner), KUKA (Strategic Robotics Partner), ASUS IoT (AIoT Alliance Partner), Aria Sensing (UWB Radar Collaboration Partner), Asahi Kasei Microdevices (AKM) (mmWave Radar Partner - May 2026)
Major milestones
Selected for Berkeley SkyDeck Accelerator Program (B17) in 2023, Winner of VentureBeat's Women Entrepreneur in AI Award, Closed $4.3M Seed round in November 2024, Named Captain of the Swiss National Startup Team for MWC 2025, Debuted with KUKA at CES 2026 - First Robot with Intuition, Joined ASUS AIoT Alliance Program (Nov 2025), Secured $13M Series A led by Run Ventures in February 2026, Strategic collaboration with Aria Sensing at MWC 2026
Growth metrics
Transitioned from accelerator stage (Berkeley SkyDeck B17) to commercial scaling; expanded team to 10-50 employees; secured strategic backing from Amazon's industrial arm.
Market positioning
Edge-native Physical AI perception layer for robotics, automotive, and industrial IoT.
Geographic focus
Global, with primary operations in Switzerland (HQ) and the United States (Silicon Valley/Berkeley), targeting manufacturing hubs in North America, Europe, and Asia-Pacific.
Patents and IP
Proprietary machine learning algorithms and signal processing IP rooted in advanced Swiss research for through-wall human detection (specific patent numbers not publicly disclosed).
About Natalya Lopareva
Natalya is a serial entrepreneur and deep-tech leader with over 15 years of experience in supply chain and advanced sensing. Prior to Algorized, she was the Founder and CEO of ARHUB (2016–2023), an AI-enabled smart sensing and security company. She is a recognized expert in Ultra-Wideband (UWB) radar applications and has led research collaborations with the Zurich University of Applied Sciences (ZHAW).
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Official website: https://www.algorized.com