Cyngn to Provide an Insider’s Look into the Company’s Technology Stack in its First Webinar on December 15, 2021

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12/08/2021 - 08:05 AM

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 be hosting its first webinar titled “Cyngn’s Periodic Table of Autonomous Technology: How More Than 120 Elements Make Self-Driving Possible” at 11 a.m. PT/2 p.m. ET on Wednesday, December 15, 2021.

(Graphic: Business Wire)

In this webinar, Biao Ma, Cyngn’s Vice President of Engineering, and Ben Landen, Cyngn’s Vice President of Business Development, will provide an in-depth look at the Company’s technology stack as well as the more than 120 autonomous vehicle elements that Cyngn has developed to bring self-driving capabilities to a variety of industrial applications. Together, these autonomous technologies help enterprise organizations become more efficient and effective. The webinar is an insider's look into the technology that differentiates Cyngn from other AV technology companies.

To register for this free webinar, please visit https://www.cyngn.com/events/periodic-table-of-autonomous-technology.

About Cyngn

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/.