Cyngn’s Enterprise Autonomy Suite (EAS) unifies robotaxi-level autonomous driving software, off-the-shelf leading hardware, and precise analytics to deliver the first of its kind autonomous vehicle solution for industrial fleets. Our flexible, scalable technology transforms your vehicles into a fully-integrated self-driving fleet of the future.
With EAS, you tap into state-of-the-art autonomy and a wealth of data insights that give you the visibility you need to streamline your operations.
Tap into the Power of the Enterprise Autonomy Suite
Cyngn delivers safe and surefire self-driving vehicle solutions — today. Our technology is customizable to the individual use case of each deployment, ensuring that we deliver an AV solution that aligns with your particular business case and budget.
Autonomy for All Industrial Vehicle Types
Cyngn’s EAS integrates with a variety of industrial vehicle types and form factors. From haulers to stock chasers, our versatile technology means heterogeneous fleets can all run autonomously using a single, unified solution.
Data Insights You Can Depend On
Beyond our autonomous vehicle capabilities, deploying with Cyngn means you’ll tap into vast amounts of data, which you can use to optimize all aspects of your operation. Predictive maintenance, refined resource allocation, and increased throughput are all possible when you use EAS to see the big picture.
Support for Sustainability
With Cyngn’s technology, your vehicles will run more efficiently, using fewer resources and reducing pollution. This makes your AV deployments as good for the planet as for the bottom line.
Companies that harness autonomy enjoy —
Autonomy Aligned With Your Business
Cyngn understands that bringing full autonomy to your existing fleet is a complex process, which is why our technology works within your existing workflows. For example, vehicles running our software can operate in any of three modes: fully autonomous, remotely driven, or manually driven.
More broadly, investing in autonomy enables organizations to shift the costs of vehicle upgrades and maintenance to smaller investments over time, deriving key data insights along the way.