A cross-sector roundup of 2026 Physical AI funding, covering driving foundation models, autonomous vehicles, robotics, simulation, data infrastructure, and robotaxi operations.
Develops embodied AI software and driving foundation models for assisted and fully autonomous vehicles.
Raquel Urtasun's autonomous-trucking lab, now expanding into Uber robotaxis after a $750M Series C at $3B.
Investors
Builds wheeled humanoid robots, positioning the company in the AI robotics market for embodied automation platforms.
Builds a driverless travel system for autonomous mobility, combining hardware and software to enable transport without human drivers.
Investors
Develops physical AI technology aimed at bringing embodied intelligent systems and connected devices into commercial deployment.
Data platform for hardware and aerospace engineering teams that organizes, visualizes, and analyzes complex test and flight data from physical systems.
Offers a simulation platform for training and testing physical AI systems, aiming to be a developer-focused 'Cursor' for real-world AI.
Investors
Provides data-wrangling software and infrastructure to collect, process and manage the large volumes of data produced by autonomous vehicles.
Builds datasets from video game environments to train physical AI systems for robotics and real-world interaction.
Designs and deploys automated charging systems and operational software to enable efficient robotaxi charging and fleet turnaround for autonomous vehicle operators.
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