Upload a cut. We read the viewer's second-by-second cortical response with a brain-encoding model — then tell you which edit holds attention, and the exact second each one loses the room. Below is a real run, on a real ad. No panel. No survey. From the file.
Here is one 30-second cut of a welding-gear ad. The line is its attention — dorsal-attention cortex, per second. Watch where it sags: at 0:12, right where the hook hands off to the offer, attention drops 3.3 SD below the cut's own baseline. That's a recut, flagged automatically.
Same creative, five ways to cut it. The model ranks them by attention-hold. Two independent methods agree on the ends: lead with urgency, and the slow story-hook cut loses.
One read gives the whole cortical profile — which brain systems the ad actually drives. This cut leads in the attention and language networks: it earns focus and it carries a message. The profile is the map of where a cut is working, second for second.
The model is public. The moat is the outcome flywheel — every ad you run makes us sharper, and no one selling an unverifiable "90% accurate" number can follow.