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What is Mojio?

Central to our platform is the Telematics Engine, which acts as the cornerstone of our advanced connected car services. This essential element not only guarantees substantial performance at scale but also emphasizes crucial factors such as data privacy, security, and reliability. Engineered to meet telco-grade specifications, our Telematics Engine has demonstrated its capability to manage hundreds of thousands of simultaneously connected vehicles across multiple regions, achieving outstanding low latency and maintaining an impressive uptime of 99.9%. By empowering customers to take better care of their vehicles, our service highlights the fundamental value proposition inherent to any connected car solution. Mojio stands out in its ability to collect, enhance, and interpret intricate diagnostic data related to vehicle health and performance. Additionally, we appreciate the wide spectrum of driving styles, encompassing everyone from seasoned professionals to novice drivers. By capturing and analyzing significant metrics such as speeding, acceleration, and braking behaviors, Mojio delivers insights that promote a deeper understanding of driving habits and behaviors, ultimately improving the overall driving experience. Moreover, this comprehensive approach not only aids individual drivers but also contributes to safer roads for all.

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)
Steer

Integrations Supported

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

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

Mojio

Date Founded

1996

Company Location

United States

Company Website

www.moj.io/connected-car-platform/

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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