Algorized
Company Information
What Is Algorized?
Algorized is a deep-tech company developing edge-AI sensing and perception technology for machines that operate around people. Its software uses wireless sensing technologies such as ultra-wideband (UWB), mmWave radar, and Wi-Fi to detect human presence, movement, position, and vital signs.
The company’s technology is designed for Physical AI systems that need real-time awareness of their surroundings. Rather than relying exclusively on cameras or cloud processing, Algorized processes sensor data at the edge to help machines understand human activity and respond in real time.
What Does Algorized Do?
Algorized develops software and AI models that turn data from existing wireless sensors into information about people and their behavior. Its technology can detect human presence, track movement and positioning, monitor breathing and heart rate, and identify patterns such as posture and movement trajectories.
A major application is human-robot interaction. Algorized’s edge-AI technology gives robots additional awareness of people sharing their workspace, allowing systems to distinguish humans from other objects and use information about movement and intent when making decisions. Its technology has been demonstrated with KUKA robotic systems for predictive robot safety and human-machine collaboration.
The company also develops sensor-agnostic software designed to work with existing wireless sensing hardware. This approach allows manufacturers and technology partners to add people-sensing capabilities without necessarily replacing their underlying sensor infrastructure.
Algorized Technology
Algorized’s technology combines edge AI, machine learning, wireless sensing, signal processing, and multimodal sensor fusion. Its models process data from technologies including UWB radar, mmWave radar, and Wi-Fi sensing to create a real-time understanding of people and activity in physical environments.
The system can perform real-time positioning and tracking, detect people through obstacles, and identify physiological signals such as breathing and heart rate. Because processing can occur at the edge, the technology is designed for low-latency applications where machines need to react quickly without depending on continuous cloud processing.
Algorized’s newer Physical AI positioning extends this capability into predictive machine awareness. Its foundation models are designed to help machines perceive human presence, understand movement and intent, and adapt their behavior in real time. At CES 2026, the company demonstrated this approach with KUKA using mmWave radar to provide human-aware robot safety even in conditions involving occlusion, darkness, and visual clutter.
Why Algorized Matters
Algorized is relevant to the emerging Physical AI market because it focuses on a critical layer between sensors and intelligent machines: real-time awareness of people in physical environments. Robots can perform tasks autonomously, but operating safely alongside humans requires machines to understand who is nearby, how people are moving, and what may happen next.
Its edge-AI approach also addresses situations where traditional camera-based perception can be limited by darkness, occlusion, dust, or visual clutter. By using wireless sensing and processing information locally, Algorized is developing technology that can complement existing robotic perception systems and support faster human-machine interaction.
The company’s $13 million Series A announced in February 2026 is being used to scale its Predictive Safety Engine and expand deployments across industrial robotics, automotive, and other Physical AI applications.
Algorized Products & Platforms
Predictive Safety Engine
Algorized’s Predictive Safety Engine is an edge-AI system designed to give industrial machines and robots awareness of people in shared workspaces. It uses wireless sensing and AI models to detect human presence, classify entities, interpret movement, and anticipate aspects of human behavior.
The system was demonstrated with KUKA at CES 2026, where Algorized technology was integrated with a robotic arm to support human-aware operation. The approach is intended to move industrial safety beyond simple detect-and-stop behavior toward systems that can respond to changing human activity.
Human-Machine Interaction Engine
Algorized’s Human-Machine Interaction Engine applies its people-sensing foundation models to situations where machines need to understand and respond to human behavior. The technology combines sensing, positioning, movement analysis, and AI-based perception to provide machines with contextual information about people nearby.
The company has positioned the engine as a foundation for Physical AI applications spanning robotics, industrial environments, automotive systems, and smart spaces.
Algorized Applications
Robotics and Industrial Automation
Algorized’s technology can provide robots with real-time awareness of human presence, movement, and intent in shared workspaces. This is particularly relevant to collaborative industrial environments where people and robots operate close to one another.
Automotive Safety
The company applies people-sensing technology to automotive environments, including in-cabin sensing and safety applications. Wireless sensing can provide information about human presence and vital signs without relying exclusively on cameras.
Smart Infrastructure
Algorized’s sensing platform can be applied to buildings and other infrastructure where detecting people, tracking movement, or monitoring occupancy is useful. Its technology is designed to use existing wireless sensing infrastructure and can operate without visual identification.
Elderly Care
In 2026, Algorized announced a partnership with Asahi Kasei Microdevices using its edge-AI foundation model with AKM’s mmWave radar technology. The system can detect presence, posture, movement, and selected vital signs for applications including elderly care.
Trending Companies
Frequently Asked Questions
What is Algorized Predictive Safety Engine?
Algorized’s Predictive Safety Engine is an edge-AI system designed to help robots and industrial machines perceive people, interpret movement, and respond to human activity in shared physical environments.
How does Algorized detect people without cameras?
Algorized processes data from wireless sensing technologies including UWB radar, mmWave radar, and Wi-Fi. Its AI models analyze the resulting signals to detect presence, movement, positioning, and selected vital signs without relying exclusively on cameras.
Can Algorized technology detect people through obstacles?
Yes. Algorized’s sensing technology is designed to detect human presence and movement through obstacles and in environments where traditional visual sensing can be challenged. The company uses wireless sensing and edge-AI models for this type of perception.
What sensors does Algorized work with?
Algorized’s technology works with wireless sensing technologies including ultra-wideband (UWB), mmWave radar, and Wi-Fi sensing. Its sensor-agnostic approach is designed to use existing sensor infrastructure rather than requiring a proprietary sensing device.
Does Algorized technology monitor vital signs?
Yes. Algorized’s models can detect physiological information such as breathing and heart rate from wireless sensor data. Its 2026 partnership with Asahi Kasei Microdevices demonstrated applications involving posture, presence, and heart-rate monitoring using mmWave radar.
Do You Have an Update for This Company?
Have an update, correction, or additional information about this company? Help us keep the futureTEKnow company database up to date by submitting the latest company information.
Related Companies
Latest Articles
OpenAI Astra for Law Brings GPT-6 Astra Into Legal Research and Law Firm Workflows
OpenAI’s Astra for Law combines GPT-6 Astra with specialized legal search, integrations, and governance controls. The launch shows how frontier
Are your AI projects stuck on your own data?
AI projects often stall because business data isn’t consistent or trustworthy. Here’s how to identify data gaps before they become
X Square Robot’s $276M Bet on Embodied AI and China’s General-Purpose Robots
X Square Robot has raised $276M from Xiaomi, Sequoia China, and other internet giants to scale its WALL-A embodied AI
EVAS Intelligence’s RISC-V AI Chips Land 1.5 Billion Yuan Series B to Power Global Expansion
EVAS Intelligence has raised 1.5 billion yuan to mass‑produce its RISC-V Epoch AI chips, deepen its full‑stack platform, and accelerate
Orkes Raises $60M to Orchestrate Enterprise AI Agents in Production
Orkes has raised 60 million dollars to turn its Netflix‑born workflow engine into a control plane for enterprise AI agents.
Sillage’s AI signal engine raises €1.7M to help enterprise sales teams follow the right buying signals
Paris-based Sillage has raised €1.7 million to launch an AI signal engine that helps enterprise sales teams follow the right
Cloneable’s agentic AI platform targets the infrastructure knowledge gap with $4.6M seed round
Cloneable is launching an agentic AI platform for infrastructure operations that captures institutional knowledge from retiring experts and turns it
Reliable Robotics Secures $160M to Scale Autonomous Aircraft Systems for Commercial Deployment
Reliable Robotics has secured $160M to scale production and deployment of its Reliable Autonomy System. This funding marks a pivotal
Ricursive Superintelligence’s $500M bet on self-improving AI raises the stakes in the AGI funding race
Excerpt: Ricursive Superintelligence has raised at least $500 million to build self‑improving AI, with GV and Nvidia backing a four‑month‑old
Bond AI raises US$2M to automate SME accounting in Brazil’s brutal tax maze
Brazilian startup BOND has raised US$2M to automate accounting for SMEs in Brazil’s complex tax system. Combining AI with human
Loop’s AI supply chain platform raises $95M Series C to predict disruptions before they hit
Loop just raised a $95M Series C to expand its AI-native supply chain platform, turning messy logistics data into early
London AI startup Lua wants to give every business its own AI workforce with $5.8M seed round
Linkedin X-twitter-square Facebook-square Startups & Business News AI agents are finally moving from demos to the day-to-day stack of real
futureTEKnow is focused on identifying and promoting creators, disruptors and innovators, and serving as a vital resource for those interested in the latest advancements in technology.
© 2026 All Rights Reserved.