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What is Pony.ai?

We are making significant strides in developing safe and reliable autonomous driving technology on a worldwide basis. Through extensive testing across millions of kilometers in challenging environments, we have laid a solid foundation for scalable autonomous driving solutions. In December 2018, Pony.ai took the lead by launching its Robotaxi service, enabling passengers to request self-driving vehicles through the PonyPilot+ App, marking a transformative moment in the realm of safe and enjoyable transportation. This innovative service is currently in operation in several cities, including Guangzhou, Beijing, Irvine, CA, and Fremont, CA. Furthermore, we have embarked on autonomous mobility pilot programs in numerous locations across the United States and China, providing daily services to hundreds of riders. These pilot initiatives have equipped us with invaluable insights and a strong technical and operational framework to improve and broaden our service offerings. United by our mission, we are tackling some of the most pressing technological hurdles in the mobility industry. Each day, we are making concrete progress toward realizing our vision of widespread autonomous mobility. Our relentless commitment to innovation propels us forward as we continuously aim for excellence in this rapidly changing landscape, and we are excited about the future possibilities that lie ahead.

What is AWS Connected Vehicle Solution?

Amazon Web Services (AWS) enables automotive producers and their suppliers to develop serverless Internet of Things (IoT) applications that gather, process, analyze, and react to data from connected vehicles, all while removing the burden of infrastructure management. Through AWS IoT, users can safely connect vehicles and devices to the AWS Cloud, resulting in reduced latency and lower expenses. To enhance the development and launching of cutting-edge connected vehicle services, AWS offers a connected vehicle solution that guarantees secure access to the AWS Cloud and provides a structure for incorporating AWS IoT and AWS Greengrass within the Automotive Grade Linux (AGL) software infrastructure. This solution includes local processing capabilities in vehicles, sophisticated event rules, and various options for data management and storage. The framework aims to simplify the creation of connected vehicle services, empowering developers to focus on further improving the features of their solutions. By utilizing these resources, automotive firms can expedite their progress towards delivering more intelligent and interconnected vehicle experiences. Furthermore, this innovation positions them to better meet future consumer demands in a rapidly evolving automotive landscape.

Media

Media

Integrations Supported

AWS CloudFormation
AWS Greengrass
AWS IoT
AWS IoT Device Defender
AWS Lambda
Amazon DynamoDB
Amazon Kinesis
Amazon S3
Amazon Web Services (AWS)

Integrations Supported

AWS CloudFormation
AWS Greengrass
AWS IoT
AWS IoT Device Defender
AWS Lambda
Amazon DynamoDB
Amazon Kinesis
Amazon S3
Amazon Web Services (AWS)

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Pony.ai

Company Location

United States

Company Website

www.pony.ai/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/solutions/implementations/aws-connected-vehicle-solution/

Categories and Features

Categories and Features

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