MENLO PARK, Calif.--(BUSINESS WIRE)--Cyngn (or the “Company”) (NASDAQ: CYN), a developer of innovative autonomous driving software solutions for industrial and commercial enterprises, today announced that it will release financial results for the fourth quarter and year ended December 31, 2021, after the close of the stock market on Wednesday, March 23, 2022. The Company will discuss those results in a conference call at 2 p.m. PT/5 p.m. ET that same day.
Participant Dial-in Numbers
U.S. & Canada (Toll-Free): (877) 407-9753
International (Toll): (201) 493-6739
To access the call, please dial in approximately five minutes before start time. The Company encourages all participants to also log into the live webcast as it expects to broadcast a short video showcasing its autonomous driving technology in action, customer interviews, long-term vision and more.
The call will also be available via online webcast at the “Events & Presentations” page of Cyngn’s Investor Relations website by clicking here.
Those who are unable to attend the live conference call may access the recording shortly after the conclusion of the call at the above webcast link or at the “Investor Relations” page of the Company’s website (https://investors.cyngn.com/).
Cyngn is an autonomous vehicle technology company that is focused on addressing industrial uses for autonomous vehicles. Cyngn believes that technological innovation is needed to enable adoption of autonomous industrial vehicles that will address the substantial industry challenges that exist today. These challenges include labor shortages, lagging technological advancements from incumbents, and high upfront investment requirements. Cyngn addresses these challenges with its Enterprise Autonomy Suite, which includes DriveMod (modular industrial vehicle autonomous driving software), Cyngn Insight (customer-facing software suite for monitoring/managing AV fleets and aggregating/analyzing data), and Cyngn Evolve (internal toolkit that enables Cyngn to leverage data from the field for artificial intelligence, simulation, and modeling).
To learn more, please visit https://cyngn.com/.