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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Global App Testing
Global App Testing (GAT) allows tech teams to test in over 189 countries with over 60,000+ professional testers who use real devices and environments.
Enhance your testing process and increase release quality and speed whilst improving budget efficiency via the GAT platform, which is fully integrated to work seamlessly with your existing DevOps or CI/CD tools.
Whether you are looking for full time QA support, or to manage spikes in your release cycles, the GAT integration-led approach empowers you to manage your entire testing workflow from test launch to results analysis without leaving your existing tooling (such as Github, Jira, Testrail etc).
Through our integrated platform, we enable unscripted exploratory testing and scripted functional test case execution to be embedded within your CI/CD and SDLC processes, providing the perfect synergy with your automation testing tools.
Test results are returned in real time. Start receiving results in as little as 15 minutes with a full bug report delivered within a few hours, enabling quick feedback on critical issues and edge cases.
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UserTesting
UserTesting transforms how enterprises gather and apply human insights by combining a massive, engaged global participant network with AI-powered insight synthesis. The platform offers fast, reliable feedback to improve marketing effectiveness, product usability, and customer experience strategies. By replacing traditional surveys and focus groups, UserTesting helps businesses quickly validate ideas, co-innovate with customers, and refine messaging to boost conversion rates and loyalty. Its enterprise-grade security and compliance certifications, including SOC 2, GDPR, and HIPAA, make it suitable for the most regulated industries. Leading companies such as Kimberly-Clark and Wells Fargo use UserTesting to accelerate decision-making, reduce costs, and improve customer satisfaction scores. The platform scales from individual teams to large organizations, providing expert-led services and onboarding to ensure success. UserTesting’s intuitive tools make it easy to get feedback on campaigns, UX designs, and digital experiences. Overall, it empowers businesses to move faster and smarter with the real voice of their customers.
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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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