Apr 26, 2023 7:00 AM
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Cyngn Autonomous Industrial Vehicle Mining Application (Photo: Business Wire)
Cyngn’s collaboration with this global company, whose name is being withheld for competitive reasons, spearheads the introduction of leading-edge AV and artificial intelligence solutions into the client's industrial vehicles, including the opportunity to address vehicles already in commercial use.
The mining industry is one of the most hazardous industries, with workers facing harsh, often remote work conditions with a higher risk of serious injury than workers in other industries. By leveraging the latest in autonomous industrial vehicle technology, mining companies can ensure the safety of their workers while increasing productivity and efficiency. With the successful completion of the previous two phases of this multi-phase project,
The continued development of
Cyngn’s DriveMod Kit can be installed on new industrial vehicles at end of line or via retrofit, empowering customers to seamlessly adopt self-driving technology into their operations without high upfront costs or the need to completely replace existing vehicle investments.
Cyngn’s flagship product, its Enterprise Autonomy Suite, includes DriveMod (autonomous vehicle system), Cyngn Insight (customer-facing suite of AV fleet management, teleoperation, and analytics tools), and Cyngn Evolve (internal toolkit that enables
This press release contains forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995, Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. Any statement that is not historical in nature is a forward-looking statement and may be identified by the use of words and phrases such as “expects,” “anticipates,” “believes,” “will,” “will likely result,” “will continue,” “plans to,” “potential,” “promising,” and similar expressions. This press release also includes forward-looking statements with respect to Cyngn’s expectations of the efficiency of its solutions, the challenges it believes its solutions can address and the cost effectiveness of its solutions. These statements are based on management's current expectations and beliefs and are subject to a number of risks, uncertainties and assumptions that could cause actual results to differ materially from those described in the forward-looking statements, including the risk factors described from time to time in the Company’s reports to the