List of HeadSpin Platform Customers
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Since 2010, our global team of researchers has been studying HeadSpin Platform customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased HeadSpin Platform for Test Automation Platform from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using HeadSpin Platform for Test Automation Platform include: Globo Brazil, a Brazil based Media organisation with 15000 employees and revenues of $3.47 billion, Pinterest, a United States based Media organisation with 4000 employees and revenues of $2.80 billion, The New York Times Company, a United States based Media organisation with 5800 employees and revenues of $2.31 billion and many others.
Contact us if you need a completed and verified list of companies using HeadSpin Platform, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The HeadSpin Platform customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight | Insight Source |
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Globo Brazil | Media | 15000 | $3.5B | Brazil | HeadSpin | HeadSpin Platform | Test Automation Platform | 2022 | n/a | In 2022, Globo Brazil partnered with HeadSpin to co-develop the HeadSpin Platform Test Automation Platform for its Globoplay streaming app and Smart TV experiences in the Brazil media and streaming environment. The engagement was announced as a joint engineering effort to improve automated testing and AI-driven diagnostics for consumer streaming endpoints. The implementation embedded automated AV testing and functional test automation workflows within the HeadSpin Platform, and incorporated an AI-driven root-cause analysis capability to accelerate defect identification across varied device form factors and geographic locations. HeadSpin Platform capabilities were configured to execute device-level playback and interaction scenarios, collect audio and video telemetry, and surface actionable diagnostics to streaming QA engineers. Operational scope focused on Globoplay QA and Smart TV engineering in Brazil, with the co-developed solution integrated into QA processes to support faster issue triage and enhanced streaming quality assurance. Governance emphasized a vendor partnership model and collaborative rollout into existing QA workflows, delivering the faster issue triage and enhanced streaming QA outcomes described in the vendor announcement. | |
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Media | 4000 | $2.8B | United States | HeadSpin | HeadSpin Platform | Test Automation Platform | 2019 | n/a | In 2019, Pinterest deployed HeadSpin Platform to run Android and iOS performance tests for its mobile applications. HeadSpin Platform is a Test Automation Platform used to instrument client-side performance and user experience profiling across device fleets for Pinterest's engineering organization. The implementation incorporated NimbleDroid performance profiling integrated into the HeadSpin Platform to capture client-side performance signals and surface regressions. Configuration emphasized automated performance test runs and profiling sessions for both Android and iOS, enabling reproducible captures of app behavior under real device conditions. Operational coverage focused on mobile app performance and UX workstreams within Pinterest, executed primarily in the United States and consumed by mobile engineering, quality assurance, and UX teams. The engagement centered on mobile test orchestration and profiling workflows to identify regressions and prioritize fixes within development cycles. Governance centered on embedding performance profiling into development and debugging workflows so teams could iterate on client-side issues more rapidly. Vendor materials report fixes being resolved within approximately 21 hours in some cases, indicating a shortened remediation loop driven by HeadSpin Platform instrumentation and NimbleDroid analysis. | ||
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The New York Times Company | Media | 5800 | $2.3B | United States | HeadSpin | HeadSpin Platform | Test Automation Platform | 2019 | n/a | In 2019 The New York Times Company engaged the HeadSpin Platform as a Test Automation Platform to profile and reduce cold start and client side performance issues in its mobile application. The engagement targeted media app performance for readers in the United States and is documented in HeadSpin vendor materials. The HeadSpin Platform deployment emphasized performance profiling capabilities, with module level usage of Nimble inferred from vendor sources to instrument startup flows and capture end to end traces across device and network variability. Functional workstreams included automated performance testing, trace capture for startup latency, and client side resource analysis to identify heavy assets and blocking operations. These activities align with standard Test Automation Platform capabilities such as synthetic and real device measurement, session level profiling, and automated capture of performance metrics. Operational ownership was aligned to mobile engineering and product teams responsible for app release quality and reader experience, with profiling outputs fed into triage and remediation workflows. The engagement with HeadSpin Platform and inferred use of Nimble is cited as improving startup latency and overall user experience for readers in vendor materials, and governance emphasized iterative profiling during development cycles and integration of performance findings into engineering defect workflows. |
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