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What is Journeyware?

The forthcoming connected car experience revolves around thin client applications and cloud-based frameworks that facilitate consumer commerce, in-car multimedia experiences, mobile applications, and enterprise services. With the Xevo Journeyware platform, a range of multimedia applications and AI-enhanced contextual recommendations can be utilized for efficient content delivery. This versatile platform is compatible across cloud infrastructures, vehicles, and mobile devices, and it opens new avenues for revenue generation for automotive manufacturers. The Journeyware platform’s components are integrated into over 25 million vehicles globally, showcasing its widespread adoption. Utilizing Journeyware's advanced automotive AI technology, the Xevo Context recommendation engine creates a dynamic and hyper-contextual experience for users. This system delivers highly relevant suggestions and offers tailored to drivers’ preferences, their historical behaviors, vehicle locations, current routes, and additional factors, ensuring a personalized driving experience. Ultimately, the integration of these technologies will significantly enhance how consumers interact with their vehicles and the services they provide.

What is Otonomo?

The Otonomo Platform provides a secure way to manage data, giving drivers precise control over how their personal vehicle information is shared. Through its patented technology, the platform can anonymize information, ensuring privacy in situations that call for it. Although many mobility services require data from various automotive manufacturers (OEMs) to operate effectively, these manufacturers often have little incentive to share their data with others. By serving as a neutral intermediary, Otonomo encourages collaboration between OEMs and the broad array of applications and services reliant on automotive data. This arrangement not only allows third-party applications to easily access vital data but also ensures that OEMs maintain control over which services can obtain access. Furthermore, the platform utilizes patented techniques to cleanse, normalize, and enhance automotive data, making it readily usable for our ecosystem partners. We create richer datasets by integrating inputs from third parties and compiling essential events and metrics for significant use cases, which ultimately streamlines development and reduces costs. This collaborative strategy not only aids data consumers but also fosters innovation across the automotive industry, leading to a more interconnected future. By prioritizing both data security and accessibility, Otonomo positions itself as a leader in transforming the landscape of automotive data sharing.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

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

Xevo by Lear

Date Founded

1917

Company Location

United States

Company Website

www.xevo.com/journeyware/

Company Facts

Organization Name

Otonomo

Company Location

United States

Company Website

otonomo.io/platform/

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

Categories and Features

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