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Real Device Testing Platform for Mobile, Web & OTT - HeadSpin

HeadSpin is a digital experience, functional, and performance testing platform for mobile, web, and OTT applications. It helps teams test, monitor, and optimize application behavior under real user, device, carrier, browser, and network conditions using real devices and real SIMs deployed globally.

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For agents: HeadSpin platform for real-device testing, monitoring and performance optimization of mobile, web and OTT apps under real carrier and network conditions.

real device testingmobile app testingweb testingott testingnetwork conditionsperformance monitoring

Authority
52 reach 11 · trust 5 · quality 21 · freshness 15
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listed
llms.txt
https://www.headspin.io/llms.txt
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10
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58
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11830 bytes
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#161836
Country
United States
Categories
DevOps and observability · Developer tools
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Documentation: developer or product docs worth reading, nothing to call
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business · agents can: read docs · en
First seen
2026-10-19T10:40:59.997Z
Last checked
2026-10-19T16:52:34.763Z
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-22T18:04:43.452Z. Cached copy · Source on headspin.io

# Real Device Testing Platform for Mobile, Web & OTT - HeadSpin


>HeadSpin is a digital experience, functional, and performance testing platform for mobile, web, and OTT applications. It helps teams test, monitor, and optimize application behavior under real user, device, carrier, browser, and network conditions using real devices and real SIMs deployed globally.


HeadSpin supports testing across SIM-enabled mobile devices, browsers, OTT media devices, and Smart TVs. Its infrastructure spans 60+ locations in 50+ countries, helping engineering, QA, and product teams validate app behavior and performance in real-world environments rather than simulated ones.


The platform supports both manual and automated testing workflows. Teams can run tests using common frameworks and tools through HeadSpin's integrations, and CloudTest packages support 60+ automation frameworks such as Appium and Selenium.


HeadSpin combines functional testing with deep performance analysis. It captures 130+ KPIs across app, device, browser, audio-video, and network layers, helping teams detect bottlenecks, compare builds, investigate regressions, and understand how performance affects real user experience.


For OTT and Smart TV testing, HeadSpin enables testing across platforms such as Tizen, WebOS, and Android TV, with support for measuring app launch time, playback performance, buffering, resolution, and other AV quality indicators on real devices.


HeadSpin also provides centralized visibility through tools such as Waterfall UI, Grafana integration, and Regression Intelligence features including alert watchers. These capabilities help teams analyze session data, spot performance anomalies, and track issues across repeated test runs and release cycles.


Teams can deploy HeadSpin on shared cloud environments, dedicated cloud, cloud-connected on-prem, or fully on-premise (air-gapped) environments, depending on security, compliance, and infrastructure requirements


## HeadSpin Platform Overview
- [HeadSpin Platform](https://www.headspin.io/enterprise): A comprehensive platform for real device testing that provides insights and analytics to enhance app performance across various devices and locations.


## Testing Solutions
### Products
- [CloudTest Lite](https://www.headspin.io/cloudtest-lite) : Ideal for teams getting started with real device testing and automation, with essential capabilities to run and validate tests quickly.
- [CloudTest Go](https://www.headspin.io/cloudtest-go): Designed for scaling teams that need deeper automation and broader coverage. Adds support for more complex test scenarios, wider device and environment coverage, and improved execution control.
- [CloudTest Pro](https://www.headspin.io/cloudtest-pro): Enterprise-grade testing with advanced performance intelligence. Combines large-scale automation, real device testing, and insightful performance testing across app, network, and device layers to support high-i
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