FalconEye is an agentless test and automation platform for any device, any app & at any scale. It is one single automation platform for both QA & Operations. For QA, it enables remote manual testing and automation of functional, regression, performance, stability, stress, and UAT scenarios. For operations, it enables monitoring of QoS/QoE errors, content delivery, and the correctness of metadata.
How it Works
Configure & Schedule
Select the platform
Configure the environment
Schedule the scenario - This simple three step process.
Not just last-mile challenges, QoEtient helps in pre-configuring the last yard environment, such as variations in signal strength, 4G/5G-Wifi handover, changing signal strengths.
With support for almost every OTT device, it is easy to select, automate, and schedule sessions using simple workflows.
Insights and Actions
StreamCycle charts depicts most accurately every event happened during the lifecycle of stream.
By combining network request-response activity (Including https), video activity and device logs, QoEtient provides the X-Ray visibility into the stream. Click here to download the whitepaper Analysis using StreamCycle Charts.
With comprehensive filters, QoEtient allows to drill down data insights at even the build version of the application. Request a demo of filters in QoEtient
Platform For Better Automation
- 4K / HD / SD video capture
- IR, IP, Bluetooth remote
- Power Control
- OCR comparison
- Image comparison
- Audio/Video analysis
- Control network connection
- Access to network traffic
- Access to serial logs
- VS code plugin for scripting
- Integration with Selenium
- ADB wrappers
- CICD Integration
- ALM Integration
- API access to the database
One platform for all video device types
Hand held smart devices like Android to iOS devices, Smart TVs, both android and non android based Streaming device like Roku, AFS, Apple TV and more Gaming consoles like PlayStation, XBox STBs like IP, RDK, Cable, Satellite, Terrestrial
VS Code Plugin – Python everywhere
With VS Code support, debug, and triage automation code like never before.
AI-driven Image, Audio, and video algorithms for high performance in scale
60 FPS accurate results, help triage faster and focus on fixing issues
Network req/res Analysis
Correlate and Analyse the network calls with video QoE and App performance
Provides visibility into the life-cycle of the stream, enabling the most accurate and actionable analysis
Automation on Real devices
Automation based on real devices gives real actionable data. Powered by