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A scan moves through a fixed pipeline. Content goes in, a predicted brain response comes out, and that response is reduced step by step into something you can read at a glance. Each step is a faithful summary of the one before it, and nothing is invented along the way.
1

Content comes in

You submit a piece of content: a video, an audio clip, an image, or text. This is the raw material the model will respond to.
2

Content becomes features

The content is turned into machine-readable features: what’s being said, heard, and seen over time. Speech is transcribed, sound is characterized, and motion and imagery are tracked frame by frame. These features are the model’s senses.
3

The model predicts a brain response

From those features, the model predicts a full brain response: activity across roughly 20,000 points on the cortex, for every moment of the content. This is the ground-truth measurement everything else is built on.
4

The brain is reduced to 7 networks per second

The cortex-wide response is summarized into 7 well-established brain networks, one value each, every second. Each network corresponds to a plain-English function: seeing, moving, focusing, alerting, feeling, reasoning, and reflecting.
5

Networks blend into KPIs

The seven per-second networks are blended into a set of KPIs: intermediate measures that combine networks into more specific signals.
6

KPIs roll up into composites

The KPIs are grouped into a handful of composites: higher-level summaries of how the content is performing.
7

Everything resolves into lenses and a score

Finally, the response resolves into the 7 lenses (attention, purchase intent, manipulation, emotion, cognitive effort, memory, and surprise) plus an overall score and grade. These are the human-readable answers.

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Why the reduction matters

Each layer is a lossy but honest summary of the one beneath it. The deepest layer, the predicted brain response, is the most precise and the least readable. The shallowest layer, the score, is the easiest to act on and the least detailed. You choose how deep to go depending on the question you’re asking.

The 7 networks

Each brain network and what it tells you.

From networks to lenses

How per-second networks become the seven lenses.