A

Algorized

Software-only edge AI for people sensing

Overview

Algorized 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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About Algorized

Simplify's Rating
Why Algorized is rated
B-
Rated B on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

Industries

Robotics & AutomationAutomotive & TransportationIndustrial & ManufacturingAI & Machine Learning

Company Size

11-50

Company Stage

Series A

Total Funding

$17.4M

Headquarters

Etoy, Switzerland

Founded

2022

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Simplify's take

What believers are saying

  • Algorized announced a $13 million Series A on February 10, 2026.
  • On November 5, 2026, Algorized showcased AFM at CIIE 2026 in Shanghai.
  • The October 20, 2026 ZHAW and InnoSuisse study strengthens credibility in collaborative-robot safety.

What critics are saying

  • Algorized sells a niche safety layer; OEMs can bundle rival perception software by 2027.
  • Its Japan and robotics partnerships are pilots until signed volume converts into revenue.
  • Privacy and biometrics regulation around in-cabin sensing and workplace monitoring can stall deployments.

What makes Algorized unique

  • Algorized's AFM runs on standard Wi-Fi, UWB, and mmWave at the edge.
  • It senses presence, motion, breathing, and heartbeat without cameras or wearables.
  • Partnerships with KUKA, ASUS, AKM, and Qorvo validate its hardware-agnostic stack.

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Funding

Total Funding

$17.4M

Meets

Industry Average

Funded Over

3 Rounds

Series A funding typically happens when a startup has a product and some customers, and now needs funding to scale. This money is usually used to grow the team, expand marketing, and improve the product. Venture capital firms are frequently the main investors here.
Series A Funding Comparison
Below Average

Industry standards

$15M
$8.2M
$13M
$15M
$30M

Benefits

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • 401(k) Retirement Plan
  • Unlimited Paid Time Off
  • Company Equity

Company News

PR Newswire
Nov 5th, 2026
Algorized unveils AFM at CIIE 2026, a single model that lets machines sense people via Wi-Fi

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.

PR Newswire
May 19th, 2026
Algorized partners with Asahi Kasei to bring edge-AI people sensing to elderly care and industrial safety

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.

StartupTicker
Feb 11th, 2026
Physical AI start-up Algorized secures USD 13 million Series A funding

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."

FinSMEs
Feb 10th, 2026
Algorized Raises $13M in Series A Funding

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

PR Newswire
Feb 10th, 2026
Algorized raises $13M Series A to scale edge-AI safety engine for industrial robots

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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