TestRail
Efficiently manage, track, and report on your software testing with web-based test case management by TestRail.
Boost team productivity with real-time insights into testing progress. Use TestRail’s beautiful interface collaborate with comments, attachments and feedback loops. Generate personalized to-do lists and email notifications. Estimate effort and forecast test completion dates.
Start test runs and select test cases for execution based on powerful filters. Track progress based on your historical time data. Monitor team workload to adjust assignments and resources.
Capture the results of manual testing or get real-time feedback from test automation. Produce traceability and coverage reports for requirements, tests, and defects. Generate meaningful reports. Compare results across multiple test runs and configurations.
TestRail integrates with leading issue tracking and test automation tools. Get the free TestRail JIRA plug-in on the Atlassian marketplace.
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BrowserStack
BrowserStack is the world’s largest cloud platform for software testing, with 19 global data centers & 20,000+ real Android and iOS devices that power nearly 1 Billion tests a year. BrowserStack's end-to-end unified testing platform is focused on supporting all genres of testing & operations, from functional testing to visual testing, accessibility testing, performance testing, test observability, API testing, and more.
Over 50,000 customers, including Amazon, Paypal, Well Fargo Bank, Nvidia, MongoDB, Pfizer, GE, Discovery, React JS, Apache, JQuery and several others rely on BrowserStack to test their web & mobile apps.
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Eatron
Eatron's Intelligent Software Layer (ISL) is a cutting-edge solution designed to unlock the full potential of batteries by enhancing performance, extending lifespan, and ensuring safety. Our proprietary algorithms achieve a consistent State of Charge (SoC) accuracy of ±1%, surpassing the industry benchmark of ±3%, and maintain a State of Health (SoH) accuracy of ±2% throughout the battery's lifetime, compared to the average ±5%. This precision allows for maximum performance extraction without compromising safety. Our patented approach to predicting Remaining Useful Life (RUL) combines a deep understanding of battery chemistries with advanced machine learning and AI, enabling dynamic prediction of battery life based on real-world usage. By monitoring battery health continuously, we can adapt to changes within the pack, potentially extending operational life by up to 25%. Safety is paramount; our AI diagnostics can predict cell failures weeks in advance with 90% accuracy.
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MIT-E Pf
Prove to your customers that your IoT platform can perform. MIT‑E Pf is cloud-native software that tests the performance and scalability of IoT platforms and solutions with 20 unique tests and up to 67 metrics per work load. With MIT-E UX, our IoT platform UX benchmarking service, you'll have fact-based, lead-generation materials that compare a PoC built in your IoT platform to the same PoC built in a competing IoT platform. With 100s of self-proclaimed IoT platforms in the market, the only way to truly know each platform is to use it. MIT‑E compares IoT platforms, producing 1000s of data points rating 120 developer and operator workflows. MachNation tests in-house and publicly available platforms to support M&A activity, competitive intelligence, and product roadmap development. Using existing or custom tests, MachNation’s IoT platform testers complete thorough, hands-on capability and usability benchmarking of any IoT platform.
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