What is Airlinq?
Airlinq is at the forefront of swiftly developing and implementing extensive connected applications aimed at fostering smart mobility and creating monetization opportunities for automakers, mobile network operators, and users across the globe. This cutting-edge platform facilitates the advancement of enterprise-grade cloud and edge solutions, skillfully navigating complex AI and IoT scenarios that involve contemporary connected assets, including vehicles, autonomous pods, and drones. Its remarkable scalability and worldwide presence enable it to support millions of connected devices and vehicles, all while maintaining critical standards of latency, security, and reliability. By allowing third-party service providers to access your connected infrastructure—whether it's a vehicle or a wearable device—you can enable them to offer customized and context-rich digital services directly to consumers. This strategy significantly improves the user experience through seamless service provisioning, consent management, payment processing, and billing, leading to a genuinely engaging and cohesive digital ecosystem. Consequently, consumers will enjoy a diverse array of services tailored to their specific needs and preferences, ensuring they remain at the center of the connected experience. Ultimately, Airlinq not only enhances mobility but also revolutionizes how users interact with technology and services in their daily lives.
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Company Facts
Company Name:
AIRLINQ
Date Founded:
2014
Company Location:
United States
Company Website:
www.airlinq.com
Product Details
Deployment
SaaS
Training Options
Documentation Hub
Support
Web-Based Support
Product Details
Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English
Airlinq Categories and Features
IoT Software
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization