Make data driven decisions

Make data driven decisions

Compare, Co-relate video, network and logs

Measure QoE on Connected TVs

Measure QoE on Connected TVs

With the swiss Knife of video QoE

Swiss-knife of OTT QoE Improvement

Swiss-knife of OTT QoE Improvement

Single platform for all stakeholders

Take Control of your Video-DevOps

Take Control of your Video-DevOps

With the swiss Knife of video QoE

Actionable feedback on real devices

Actionable feedback on real devices

Non intrusive Control and Automate in-house experience

QoEtient

QoEtient

QoEtient powered by FalconEye is a QoE improvement platform, where we can automate measurement and monitoring of significant QoE KPIs in pre and post deployments stages.  It is a single framework for all the OTT customer premises equipment including mobiles, Smart TVs, gaming consoles, STBs & OTT Streaming devices.

How it Works

Identify to Automate

Identify to Automate

Identifying KPIs that matter and automating the appropriate scenarios is a crucial step in controlling the video DevOps. Click here to download the whitepaper, KPIs that matters.

QoEtient comes with 60FPS high precision APIs that work non-intrusively across various devices, and a VS Code-based plugin for debugging and automation.

Identify the trigger points of QOE KPI analysis using the platform APIs. (Download Overview of Platform APIs document)

Configure & Schedule

Configure & Schedule

  1. Select the platform

  2. Configure the environment

  3. 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

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

Advantages

VS Code Plugin – Python everywhere
VS Code Plugin – Python everywhere

With VS Code support, debug, and triage automation code like never before.

Accuracy
Accuracy

60 FPS accurate results, help triage faster and focus on fixing issues

Stream-Cycle charts
Stream-Cycle charts

Provides visibility into the life-cycle of the stream, enabling the most accurate and actionable analysis

Artificial Intelligence
Artificial Intelligence

AI-driven Image, Audio, and video algorithms for high performance in scale

Network req/res Analysis
Network req/res Analysis

Correlate and Analyse the network calls with video QoE and App performance

Automation on Real devices
Automation on Real devices

Automation based on real devices gives real actionable data. Powered by

Powering 200 million+ users

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