DeepScale Alternatives & Competitors
12 companies similar to DeepScale — Squeezing AI Where You Need It
Companies similar to DeepScale
Algolux
Robust Perception for All Conditions
Montreal, Canada
LeddarTech- Automotive Software: Low-Level Sensor Fusion & Perception
La référence en solutions de détection, fusion de données et perception
Quebec, Canada
China
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Oculii™ (An Ambarella Technology)
Virtual Aperture Imaging Radar for Autonomous Applications
Beavercreek, United State...
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Opsys Technologies
The world’s most advanced pure solid state scanning LiDAR technology
Israel
Mobileye
Mobileye, Driven by Vision™
Jerusalem, Israel
Innoviz Technologies
Autonomous vehicle technology that is on a mission to change the world.
Santa Clara, United State...
Anyverse
Hyperspectral synthetic data platform for advanced perception systems.
Madrid, Spain
Perciv AI
See the invisible. AI-driven, radar based machine perception for automotive, robotics, and...
Delft, The Netherlands
STRADVISION
Scalable Deep Learning Software for Autonomous Driving and Advanced Driver Assistance Syst...
San Jose, United States
RFISEE
Next Generation 4D high imaging radar for the automotive industry
Israel
About DeepScale
DeepScale, established in 2015, is revolutionizing the automotive industry with its slogan, "Squeezing AI Where You Need It." The company specializes in providing advanced perception capabilities for autonomous vehicles and ADAS systems, leveraging the expertise of world-class engineers to develop efficient DNNs (deep...
Autonomous Vehicles, ADAS Systems, Deep Neural Nets, Deep Learning, Computer Vision, Perception Systems, Automotive Technology, Safety Solutions, OEM Partnerships, Automotive Suppliers, Chip Manufacturers, VC-backed Startup, Efficient DNNs
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Compiled from the BounceWatch company index. We last looked at DeepScale on 12 Apr 2026. The 12 companies listed here were last checked between 11 Sep 2024 and 6 Jul 2026. Where a field is blank here, it means we have not recorded it — not that the answer is zero. How we source and date this.
