Wejo Group Limited · OTC:WEJOF
Wejo — Corporate Update (September 2022)
8 slides from Wejo's corporate update, Sep 27, 2022
Slide 1: Orc §
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Slide 2: Agenda
Agenda Today's Announcement Why Build AV-OS Future Capabilities of AV-OS Wejo Neural EdgeTM and Digital Twin DLIVEREE Demonstration a ANDBRAKE ON!
Slide 3: Wejo's work with DLIVEREE will lead to extensions of our common data model
Wejo's work with DLIVEREE will lead to extensions of our common data model, supporting communications between AVs and advancing safety for all road users Our product is AV-OS, an operating system which will allow OEMs to query Wejo in real-time to simulate real-life scenarios when developing AVs whi
Slide 4: There are over OEMs along with multiple DoTs with DMV licenses to deploy AVs
There are over 40 OEMs along with multiple DoTs with DMV licenses to deploy AVs DEATHS ON THE ROAD DEATHS DUE TO EMISSIONS ] . 3 8 MILLION MILLION wejo Source: World Health Organization, Wejo management Weijo's work with DLIVEREE will lead to extensions of our common data model, supporting communica
Slide 5: Anticipate the Road Ahead
Anticipate the Road Ahead + Providing AVs with intelligence about longer range conditions + Road, environmental & traffic + Growing connected vehicle and autonomous vehicle data (e.g.. lidar & camera outputs) + Edge & distributed infrastructure to reduce latency barriers Simulation & Modelling + Pro
Slide 6: wejo
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Slide 7: Wejo Neural Edge™ & Digital Twin
Wejo Neural Edge™ & Digital Twin Wejo Neural EdgeTM enables faster and more efficient processing of data at the vehicle, providing a key building block for communication in near real-time, which can accelerate the deployment of autonomous vehicles. Using Connected Vehicle Data, Wejo can help support
Slide 8: Wejo is developing AV-OS to accelerate the adoption of autonomous vehicles
Wejo is developing AV-OS to accelerate the adoption of autonomous vehicles. We can save OEMs and DoTs time and money by providing access to our data platform, preventing them from having to deploy new infrastructure to simulate autonomous vehicle environments. Leveraging Neural Edge™, Digital Twin,