We are on a mission to bridge the gap between simulation and the real world, ensuring autonomous systems perform flawlessly when it counts most. As the trusted first line of defense for innovators in autonomous driving, drone delivery, eVTOL, robotics, and beyond, we empower industry leaders to rigorously test and validate their systems at scale. Our high-fidelity, fully controllable, software-in-the-loop sensor simulation API provides unparalleled realism, accuracy, and confidence. In autonomy, there's simply no margin for error." title="" class="btn" data-container="body" data-html="true" data-id="207771" data-placement="top" data-toggle="popover" data-trigger="focus" style="color:#0077b5" tabindex="0" data-original-title="Parallel Domain"> 6,578
Activities
Technologies
Entity types
Location
44 Montgomery, 44 Montgomery St, San Francisco, CA 94104, USA
San Francisco
United States of America
Employees
Scale: 51-200
Estimated: 52
Engaged catalyst
3Added in Motherbase
1 year, 11 months agoProgrammatically test and validate autonomous systems at scale. High-fidelity sensor simulation in digital twins.
We are on a mission to bridge the gap between simulation and the real world, ensuring autonomous systems perform flawlessly when it counts most. As the trusted first line of defense for innovators in autonomous driving, drone delivery, eVTOL, robotics, and beyond, we empower industry leaders to rigorously test and validate their systems at scale. Our high-fidelity, fully controllable, software-in-the-loop sensor simulation API provides unparalleled realism, accuracy, and confidence. In autonomy, there's simply no margin for error.
machine learning, AI, artificial intelligence, autonomous systems, autonomous vehicles, self-driving cars, delivery drones, computer vision, simulation, API, testing AI, validating AI, testing and validation, regression testing, sensor simulation, software-in-the-loop simulation, digital twins, eVTOL, machine perception, SIL, and pattern recognition
High-fidelity sensor simulation API to test autonomous systems in real-world digital twins
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