Tobii Pro Sticky
Sticky by Tobii Pro is a self-service online platform that combines online survey questions with webcam eye tracking and emotion recognition, making advanced quantitative research simple. With this time and cost-efficient method of integrating eye tracking into your research, you can test large panels of consumers as they view targeted shelves, packs, ads, or webpages from their own computers. For a fraction of the cost of traditional in-person research, the online platform Sticky by Tobii Pro enables large-scale quantitative eye tracking research and emotion recognition as a self-service. Using the participant’s webcam, market researchers gain valuable visual and emotional data on the impact and performance of existing or new designs and placements, for example, in packaging and advertising research. The platform is integrated with online survey engines and panel companies with global reach, enabling a distributed data collection setup and with a quick turnaround time.
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CoolTool
Discover and validate what consumers see, think, and feel beyond their conscious control on desktop and mobile. Online webcam eye tracking for identifying where consumers’ attention goes. Online emotion measurement for capturing consumers’ emotional statements during the interaction with digital products. Online implicit tests for uncovering true attitudes and thoughts hidden in the subconscious. Online solutions for remote usability research. We’ve designed the new product UXReality that completely replaces usability labs with a virtual solution. It allows you to do UX research both on desktop and mobile remotely. You get high-quality session recordings and can literally see through the users’ eyes. The solution includes AI-powered webcam eye tracking, emotion measurement, and surveys.
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Google Cloud Vision AI
Derive insights from your images in the cloud or at the edge with AutoML Vision or use pre-trained Vision API models to detect emotion, understand text, and more. Google Cloud offers two computer vision products that use machine learning to help you understand your images with industry-leading prediction accuracy. Automate the training of your own custom machine learning models. Simply upload images and train custom image models with AutoML Vision’s easy-to-use graphical interface; optimize your models for accuracy, latency, and size; and export them to your application in the cloud, or to an array of devices at the edge. Google Cloud’s Vision API offers powerful pre-trained machine learning models through REST and RPC APIs. Assign labels to images and quickly classify them into millions of predefined categories. Detect objects and faces, read printed and handwritten text, and build valuable metadata into your image catalog.
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Qwen3.8-Max
Qwen3.8-Max is Qwen’s most capable model to date, built as a Max-class AI model for coding, work, research, long-horizon tasks, and multimodal agents. It scales to 2.4 trillion parameters with 95 billion active parameters and is available through QwenCloud. The model is designed to complete complex, open-ended tasks end to end with greater reliability and minimal human involvement. Qwen3.8-Max supports autonomous coding workflows, agentic development, research reproduction, visual reasoning, document understanding, video analysis, and real-world productivity tasks. It can integrate with popular agent frameworks and coding assistants, including Claude Code, Codex, Qoder CLI, Qwen Code, and OpenClaw. Built for developers, researchers, enterprises, and AI agent builders, Qwen3.8-Max helps teams automate sophisticated work across code, documents, tools, interfaces, and multimodal content.
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