Billions spent on content nobody watches
Marketers spend over $500 billion annually on content with no way to predict whether it will resonate before publishing. Focus groups take weeks and cost tens of thousands. A/B testing only works after you have already shipped. The result: most content underperforms, and nobody knows why until the budget is gone.
Traditional neuromarketing offers answers, but at $50,000 to $500,000 per study, with 4 to 8 weeks of lead time and samples of just 30 to 100 lab subjects, it is reserved for the largest brands and the highest-stakes campaigns.
What if you could predict brain response computationally -- in seconds, for cents, with no lab, no participants, and no scheduling?
From upload to action items in seconds
Upload your video
Drop any video file or paste a URL. TikTok, YouTube, feature films, product demos -- any format, any length up to 30 minutes on Pro.
ORCLE predicts cortical activation
Six frozen neural encoders process your video in parallel -- visual, audio, text, OCR, long-context, and reasoning streams. The fusion transformer predicts activation across 20,484 cortical vertices.
Atlas maps to 20 metrics
The neural atlas aggregates vertex-level predictions into 20 interpretable metrics: hook score, sustained attention, emotional resonance, memory encoding, cognitive load, and more.
VLM generates editing prescriptions
A vision-language model analyzes the neural timeseries alongside your video and generates specific, timestamped editing recommendations referencing brain mechanisms.
Act on the results
Export a full PDF report, use the API to integrate scores into your workflow, or feed results directly into kwale Studio for automatic optimization.
Six dimensions of neural intelligence
Hook Score
Predicts the probability of capturing attention in the first 3 seconds. Trained on NAcc (nucleus accumbens) reward-anticipation signals.
Attention Tracking
Per-second sustained attention predictions based on dorsolateral prefrontal cortex (dlPFC) activation patterns across your entire video.
Emotional Resonance
Measures predicted emotional arousal and valence from amygdala and anterior insula (AIns) activation, identifying moments of peak emotional impact.
Memory Encoding
Predicts which moments will be remembered 24 hours later based on hippocampal formation activation patterns during viewing.
Modality Ablation
Isolates the contribution of each sensory channel (visual, audio, text) to overall engagement, revealing which elements are carrying the experience.
Demographic Scoring
Predicts how different audience segments respond. Demographic conditioning adjusts the neural model for age, gender, and interest profiles.
The neuroscience behind kwale Score
kwale Score is built on ORCLE, a brain encoder trained on 451.6 hours of fMRI data from 720+ human subjects watching naturalistic video. It predicts activation across these key brain regions:
Choose your plan
Free
5 scores per month
- 5 video scores/month
- 3 score dimensions
- 10s timeseries preview
- Watermarked PDF export
- Up to 5 min videos
Pro
200 scores, full metrics
- 200 video scores/month
- All 6 dimensions + 18 metrics
- Full per-second timeseries
- Interactive 3D brain map
- AI action items
- API access (100 rpm)
- A/B comparison
- Up to 30 min videos
Enterprise
Unlimited, custom models
- Unlimited scores
- Custom demographic models
- Raw vertex data download
- White-label PDF export
- Dedicated CSM + Slack
- SLA guarantees
- Up to 4 hour videos
Ready to predict how brains respond?
Join the waitlist for kwale Score and start scoring content against real neuroscience.
Join WaitlistBuilt on peer-reviewed neuroscience. Patent pending.