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DetrackStreamline everything from proof of delivery and real-time driver tracking, through to route optimisation and customer updates. Save time, reduce operating costs, and boost productivity with Detrack. Integrations Integrate with the best accounting and SMS platforms. From order creation through to proof of delivery, everything works together seamlessly - orders sync automatically, customers get notified instantly and drivers receive jobs in real-time. Test drive all features for free It only takes a few minutes to add your drivers, upload or create jobs and start branding your customer comms. Our free trial gives you access to all features for 14 days. We know that there aren’t enough hours in the day and our experts are available 24/5 to help you get set up to achieve your goals faster. You can chat live or book a call back for practical, hands-on support.
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RaimaDBRaimaDB is an embedded time series database designed specifically for Edge and IoT devices, capable of operating entirely in-memory. This powerful and lightweight relational database management system (RDBMS) is not only secure but has also been validated by over 20,000 developers globally, with deployments exceeding 25 million instances. It excels in high-performance environments and is tailored for critical applications across various sectors, particularly in edge computing and IoT. Its efficient architecture makes it particularly suitable for systems with limited resources, offering both in-memory and persistent storage capabilities. RaimaDB supports versatile data modeling, accommodating traditional relational approaches alongside direct relationships via network model sets. The database guarantees data integrity with ACID-compliant transactions and employs a variety of advanced indexing techniques, including B+Tree, Hash Table, R-Tree, and AVL-Tree, to enhance data accessibility and reliability. Furthermore, it is designed to handle real-time processing demands, featuring multi-version concurrency control (MVCC) and snapshot isolation, which collectively position it as a dependable choice for applications where both speed and stability are essential. This combination of features makes RaimaDB an invaluable asset for developers looking to optimize performance in their applications.
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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 Wayve?
Wayve emerges as a groundbreaking platform in the realm of autonomous driving, harnessing the power of AI foundation models to propel the advancement of future self-driving cars through its forward-thinking Embodied AI approach. At the core of Wayve’s innovation lies a self-learning “AI driver,” enabling vehicles to understand, predict, and navigate complex real-world situations by learning from experience rather than relying on fixed rules or detailed maps. This system predominantly utilizes camera inputs and deep learning methodologies, cultivating a flexible driving intelligence that can seamlessly adapt to new roads, urban environments, and various vehicle types with little need for retraining. Wayve’s strategy incorporates a mapless, hardware-agnostic design that empowers automakers to deploy advanced driver assistance and autonomous capabilities through software updates, supporting automation levels from L2+ to L4. This cutting-edge framework is engineered to continuously learn from both real-world scenarios and simulated experiences, promoting safe and intuitive driving while improving the vehicle's ability to handle unexpected events. By emphasizing adaptability and ongoing enhancement, Wayve aspires to transform the integration of self-driving technology into daily transportation, setting a new standard for the future of mobility. Ultimately, its vision is to create a more connected and intelligent driving experience for users everywhere.
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
Wayve
Date Founded
2017
Company Location
United Kingdom
Company Website
wayve.ai/
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