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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WinMan ERP
WinMan ERP software is a powerful, scalable solution tailored for manufacturers and distributors. It enhances productivity, profitability, and efficiency by providing real-time insights, reducing waste, and eliminating duplicate tasks. Designed for businesses with complex manufacturing and distribution needs, WinMan adapts to changing circumstances and supports growth. As the Authors of our ERP solutions, we prioritise efficiency and flexibility, enabling informed decision-making and operational peace of mind.
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Cognitive3D
An advanced immersive analytics platform designed for training managers, designers, and researchers, it allows for the assessment of training effectiveness and employee performance outcomes. By evaluating compliance, organizations can enhance safety measures, minimizing risks of injury and mistakes. The platform gathers insights across various sectors such as consumer packaged goods, architecture, engineering, construction, and retail. It streamlines product development processes, facilitating swift and valuable insights. Users can validate their theories by performing experiments within a virtual reality context, capturing data with scientific precision through eye-tracking, fixations, and biometrics. Furthermore, organizations can derive practical insights from their VR and AR initiatives right now. Our cutting-edge technology revolutionizes consumer research, allowing brands to refine their product strategies and gain a deeper understanding of consumer behavior through a distinctly quantifiable platform. Our enterprise clients are establishing spatial goals to implement training simulations that yield clearer outcomes, thereby decreasing injury rates, enhancing safety protocols, and effectively measuring productivity within their teams. With this robust platform, businesses are empowered to not only meet their training objectives but also drive innovation in their respective industries.
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Tobii Pro Sticky
Sticky by Tobii Pro is an innovative self-service online tool that merges survey questions with webcam-based eye tracking and emotion analysis, simplifying complex quantitative research. This efficient approach allows for time and cost-effective integration of eye tracking into studies, enabling the testing of extensive consumer panels as they interact with specific shelves, packaging, advertisements, or websites from their personal devices. Compared to traditional in-person research methods, Sticky by Tobii Pro offers large-scale quantitative eye tracking and emotion analytics at a significantly reduced cost. By utilizing the participant's webcam, market researchers can obtain insightful visual and emotional data regarding the effectiveness and appeal of both existing and new designs, particularly in areas like packaging and advertising. The platform seamlessly connects with online survey platforms and panel providers on a global scale, facilitating a distributed data collection process with swift turnaround times. This unique combination of features ensures that researchers can comprehensively understand consumer behavior and preferences with remarkable ease.
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