From attention to intelligence. One framework. Seven stages.

Stopper is not a single AI application or a single laboratory. It is a research and technology ecosystem built to understand, measure, analyze and, over time, predict visual attention.

Each stage answers a different question.

• Stopper Theory — The Idea — Why do we stop?
• Stopper Analyze — Behavioral Simulation Analysis — What did people do?
• Stopper AI — AI-Based Visual Intelligence — What can we predict?
• Stopper Lab — Human Measurement & Validation — What actually happens?
• Stopper Lab Report™ — Interpretation & Insight — What does the data mean?
• Stopper Score™ — Measurement — How does it perform?
• Stopper Certified™ — Standard — How does it compare?

Stopper Analyze and Stopper AI are also tools inside Stopper Lab.

The structure reads as a sequence, but it is not strictly linear. Stopper Analyze and Stopper AI can be used inside Stopper Lab on their own, or together with other research methods, depending on the research design.

Prediction, human test, comparison, validation, better models.

The long-term technology value of Stopper Lab is not only research services. Over time the system builds a learning loop: Stopper AI predicts, real people are tested, the real response is compared with the prediction, and validated results feed better Stopper models, a benchmark database and research data assets within an appropriate legal and ethical framework.

• Content
• Stopper AI Prediction
• Human Test
• Behavior + Eye + EEG + EDA
• Real Response
• Comparison
• Validation
• Better Stopper Models