For creators, agencies & marketers

Stop guessing.
Know what makes content impossible to skip.

Upload your video and we'll show you — second by second — exactly where you're losing your audience and precisely what to change to win them back. Backed by real brain science, personalised to your goal.

Get Early Access How it works
20K+
Brain Vertices
1s
Precision
5
Brain Scores
12
Creator Objectives
What we do

Your content. Your goal.
Your neurological edge.

ViewBrain gives you the kind of insight that focus groups and analytics dashboards can't — what's actually happening in your viewer's brain, and what to do about it.

01
We watch your video — neurologically
Upload any video and we map neural activity across 20,484 brain vertices, every second. Our model simulates how your audience's visual, emotional, and memory systems actually respond — not what they say they feel.
Any format 1s resolution fMRI-grade
02
We find every moment you're losing them
We surface the exact seconds where attention drops, emotions flatline, memory stops forming, or cognitive overload spikes. You'll see your content's weak spots before your audience ever does.
Timestamped 5 brain scores Drop-off risk
03
We tell you exactly what to fix — for your goal
Tell us what you're optimising for — watch time, brand recall, clicks, emotional impact — and every recommendation is calibrated to that goal. Not generic advice. Your video's brain data, applied to your objective.
12 objectives Goal-led Actionable
See it in action

The dip. The fix. The uplift.

Three real content types. For each one — the exact second engagement drops, and the recommendation that brings it back up.

▶
Short-form Reel
30s  ·  TikTok / Reels
Goal Watch Time
Engagement · per second ▼ Dip at 8s
0s 15s 30s
Recommendation · 8s
Your hook loses momentum when you cut to static text. Move the payoff reveal to 6s and layer a sound cue at the cut — this re-engages the salience network before attention drifts.
↗  Est. +22% average watch time
▶
Brand Ad
45s  ·  YouTube / CTV
Goal Brand Recall
Engagement · per second ▼ Dip at 22s
0s 22s 45s
Recommendation · 22s
Memory consolidation flatlines mid-ad — your product demo is running without an emotional anchor. Bring your brand logo forward 3 seconds to 19s, where hippocampal encoding peaks. That's when it sticks.
↗  Est. +31% unaided brand recall
▶
Tutorial / Long-form
2 min  ·  YouTube / LinkedIn
Goal Conversion
Engagement · per second ▼ Dip at 1:05
0:00 1:05 2:00
Recommendation · 1:05
Five on-screen elements appear simultaneously — cognitive load spikes and viewers disconnect before reaching your CTA. Split into two sequential steps and remove the background overlay. Clear path to conversion.
↗  Est. +19% CTA click-through
Model & Research

This isn't guesswork.
It's peer-reviewed brain science.

ViewBrain's predictions are grounded in real human fMRI data — the same neuroscience methodology used in published academic research, not marketing proxy metrics.

Trained on real fMRI recordings
Our encoding model learns from thousands of real brain imaging sessions capturing how human visual cortex, emotion centres, and memory systems respond to natural visual stimuli — not synthetic proxies.
Clinical-grade cortical resolution
Predictions run on the fsaverage5 cortical surface (20,484 vertices) — the standard reference space used in published neuroimaging research and clinical settings. Every score is anatomically grounded.
Five scores from five brain systems
Immersion, emotional resonance, attention stability, memory consolidation, and cognitive load each map to well-characterised functional connectivity patterns with published predictive validity in the neuroscience literature.
Validated on held-out data
Model accuracy is measured against fMRI recordings not seen during training. Recommendations are derived from the same encoding methodology used in peer-reviewed computational neuroscience — not retrofitted heuristics.
20,484
Cortical vertices per prediction
1s
Temporal resolution, matching fMRI
5
Scores, each from a distinct brain network
12
Creator objectives, each with personalised weights
Why it can be trusted
◆
Trained on the largest publicly available visual fMRI dataset — real human neural responses, not modelled proxies
◆
Each brain score maps to named functional connectivity networks cited in published neuroscience literature
◆
Uses standard fsaverage5 cortical space — reproducible, verifiable, and consistent with clinical neuroimaging
◆
No self-report bias, no focus groups, no observer effect — pure neural signal from imaging data

"Neural encoding models trained on large-scale fMRI data capture fine-grained, behaviourally relevant variation in cortical responses to natural visual stimuli — enabling reliable predictions on previously unseen content."

Grounded in peer-reviewed computational neuroscience on visual cortical encoding
Early Access

Ready to see your content differently?

ViewBrain is in early access. Drop your email and we'll reach out personally to get you set up.

No spam. Just a personal reply when your access is ready.