Testeum
Are you tired of bugs and poor UX slipping through the cracks despite extensive internal testing? Elevate your app's quality with Testeum, the SaaS crowdtesting platform designed for high-tech businesses. Whether you're developing a mobile or web app, Testeum connects you to a curated group of testers, handpicked based on your unique criteria.
Here's how Testeum helps you stay ahead:
- Conduct testing at any stage, from prototype to production-ready apps.
- Opt for our self-managed solution or let our expert team manage test strategy and implemntation for you.
- Precisely target your test audience with multiple criteria, devices, and environments.
- Launch and set up functional or UX testing campaigns in just minutes.
- Receive real-time feedback the moment your campaign goes live.
- Get actionable results within hours—not days.
- Seamlessly integrate test outcomes with your favorite bug-tracking or automation tools.
- Access in-depth reports that capture your users' true expectations.
Testeum is built to be agile-friendly and incredibly easy to use.
Stop guessing what your users want—know it with certainty.
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Kubit
Warehouse-Native Customer Journey Analytics—No Black Boxes. No Limits.
Kubit is the leading customer journey analytics platform, built for product, data, and marketing teams who need self-service insights, real-time visibility, and full control of their data—all without engineering dependencies or vendor lock-in.
Unlike traditional analytics tools, Kubit is warehouse-native, enabling you to analyze user behavior directly in your cloud data platform (Snowflake, BigQuery, or Databricks). No data extraction. No hidden algorithms. No black-box logic.
With built-in support for funnel analysis, retention, user paths, and cohort exploration, Kubit makes it easy to understand what’s working—and what’s not—across the entire customer journey. Add real-time anomaly detection and exploratory analytics, and you get faster decisions, smarter optimizations, and more engaged users.
Top enterprises like Paramount, TelevisaUnivision, and Miro trust Kubit for its flexibility, data governance, and unmatched customer support.
Discover the future of customer analytics at kubit.ai
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UXReality
User behavior is significantly influenced by visual attention. By utilizing UXReality solutions, you can pinpoint exactly where users focus their gaze while interacting with your app or website, uncovering the reasons behind their unexpected behaviors and how they engage with content. The emotional aspect of design plays a crucial role in distinguishing successful products from others that are equally good. Does your design manage to trigger emotions in users? With UXReality, you have the capability to assess how users interpret your design. This platform provides insights into user reactions tied to specific points in their journey or particular interface elements, enabling you to craft designs that truly resonate on an emotional level. Moreover, UXReality makes the process accessible, requiring no special skills. By harnessing the power of advanced AI alongside the user's device selfie camera, we can capture user actions such as scrolling and tapping, along with their gaze and emotional responses reflected in facial expressions. This comprehensive understanding of user interactions not only enhances your design strategy but also leads to more engaging user experiences overall.
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Google Cloud Vision AI
Harness the power of AutoML Vision or leverage pre-trained Vision API models to extract meaningful insights from images stored in the cloud or at the network's edge, allowing for emotion detection, text interpretation, and much more. Google Cloud presents two advanced computer vision solutions that utilize machine learning to provide top-notch prediction accuracy for image analysis. You can streamline the creation of bespoke machine learning models by simply uploading your images, using AutoML Vision's intuitive graphical interface to train these models, and fine-tuning them for optimal performance in terms of accuracy, latency, and size. Once perfected, these models can be seamlessly exported for use in cloud applications or on various edge devices. Additionally, Google Cloud’s Vision API grants access to robust pre-trained machine learning models via REST and RPC APIs. You can easily assign labels to images, categorize them into millions of pre-existing classifications, identify objects and faces, interpret both printed and handwritten text, and enhance your image catalog with rich metadata for deeper insights. This combination of tools not only simplifies the image analysis process but also empowers businesses to make data-driven decisions more effectively.
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