Monday, December 23, 2024

Cyngn Signs New Customer: Fortune 100 Heavy Equipment Manufacturer

Cyngn maintains 2023 momentum with announcement of largest customer to-date, following new contracts with industrial vehicle manufacturers.

Cyngn Inc., a developer of AI-powered autonomous driving solutions for industrial applications, announced an agreement with a Fortune 100 Heavy Equipment Manufacturer to deploy DriveMod Stockchasers in its North American manufacturing facility, starting in the coming weeks. This order marks another significant milestone for Cyngn’s DriveMod Stockchaser.

The deployment will assist in the towing of heavy cargo for parts distribution at one of the customer’s manufacturing facilities. Cyngn’s autonomous vehicles will help to tackle labor shortages and improve safety and efficiency. While the customer has long been a leader in helping its own customers accomplish their safety and sustainability goals, this order helps them take significant steps towards achieving their own.

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“This contract is another in a string of major successes for us – each of which proves autonomous vehicles for industrial applications are here to stay,” said Lior Tal, CEO of Cyngn. “Our new customers are proud of their autonomous vehicle adoption as it conveys their forward thinking and focus on safety and sustainability. Our technology is viewed as a significant competitive advantage, especially among the industry leaders with whom our solutions are gaining traction. This often requires us to work confidentially with these customers, helping them carve out their leadership position. We are respecting that confidentiality and look forward to making more detailed announcements based on the timing that works for this and future key customers.”

This initial order, with a potential to grow to more vehicles at this and other facilities, demonstrates Cyngn’s ability to capture the growing industry demand for autonomous industrial vehicles. By leveraging Cyngn‘s proprietary AI solutions, the companies are addressing the challenge of automating the complicated but necessary tasks required for successful and efficient heavy equipment manufacturing.

SOURCE: PRNewswire

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