
Mobile Experience test automation platform
Test Automation Platform for Flawless Mobile Experiences
Mobile Experience Suite
The Mobile Experience solution consists of multiple modules:
Avanti Automation Engine
Avanti User Portal
Mosaic Test Agents
Illumina Reporting and Analytics
SIM Server

Testing cellular network services
Ensuring Reliable Connectivity Through Comprehensive Testing
Test using on real cellular devices,
Perform thousands of tests in minimal time,
Enjoy unparalleled test control,
Leverage rapid programmatic reconfiguration,
Gather data for network performance optimization.
Hardware architecture for unparalleled test control
Mobile Experience’s hardware-centric architecture works with the real devices:
No interaction with the device's firmware or operating system.
Ability to isolate and test every device component (e.g. RF antennae).
Patented SIM multiplexing technology to conduct multiple tests without any manual intervention.
No software installed on the device that could be a source of interference.
No simulator that would reduce the test realism by jailbreaking the phone.
No need for Faraday cages to prevent interference.

Maximize Test Coverage
Fully programmable test platform allows scalable testing with consistent costs.
Rapid configuration of test conditions and parameters while eliminating human errors.
Efficient testing across various device models, account types, and roaming partners.
Parameter combinations for hundreds of test cases and thousands of test runs.
Ability to test many SIM card types for domestic and international roaming locations.
High-scale testing with no human touch
Mobile Experience delivers 50-70x higher test volume in the same time frame.
Automation drives thousands of tests within a short maintenance window.
Test scripts with various permutations workloads and configuration presets.
No human interaction is required.

Data analytics to improve network performance
Gather and analyze field data to enhance performance and prevent downtime.
Collect data from multiple connected devices.
Distribution across the network edge.
Accurate data collected under real-world conditions.
Apply machine learning for predictive analytics for early trend and problem detection.