The Attention Intelligence Ecosystem

Presentation · 2026-06-22

Keynote presentation from Future AI Summit 2026 Istanbul. Our vision, research and the road ahead.

The talk in one line

AI made content infinite. Human attention is still finite. The keynote at Future AI Summit 2026 Istanbul introduces Stopper as an Attention Intelligence ecosystem built for exactly that imbalance.

Four structures, one objective

  • Stopper Theory, the scientific foundation: why do we stop?

  • Stopper Lab, research and validation: how do people actually respond?

  • Stopper AI, predictive intelligence: what is likely to capture attention?

  • Stopper Analyze, the applied platform: how does it become a decision?

Theory leads to Lab, Lab to AI, AI to Analyze, and Analyze to the Stopper Score. Knowledge becomes evidence, evidence becomes prediction, prediction becomes application, and application becomes a decision.

What the audience saw

The talk walks through one creative end to end. First the visual is uploaded to Stopper AI: nine analyses run, a score appears and written recommendations follow. Then the same visual is placed inside a simulated feed in Stopper Analyze, where real participants scroll past it and the report shows stops, dwell and gaze heatmaps. Prediction and human evidence sit side by side on one screen. That comparison is the whole point of the ecosystem.

Why an ecosystem and not a feature

A single score is easy to copy and hard to trust. A system that explains its score, tests it against human behaviour and improves with every study is neither. The defensibility is the combination: research origin, a structured methodology, human measurement capability and explainable outputs.

The road ahead

Validation studies in Stopper Lab, growing datasets, empirically calibrated weighting of the score, and an API so attention scoring can live inside creative workflows rather than beside them.

Slides and recording

Available on request through the contact page.