See How The Human Brain Responds To Your Emails
Upload your email template and our AI predicts cortical activation patterns across 20,000+ brain vertices — revealing exactly which design elements capture attention, trigger emotion, and drive action.
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The Science
How Neural Encoding Models Predict Brain Response
Our analysis is built on the same neuroscience principles used in Meta AI's TRIBEv2 research — a foundation model trained to predict how the human brain processes visual, linguistic, and emotional stimuli.
Visual Feature Extraction
State-of-the-art vision models extract hierarchical features from your email — from low-level edges and colors to high-level semantic content like faces, products, and text hierarchy.
Brain regions: Primary visual cortex (V1), ventral stream (V2–V4), fusiform face area (FFA), parahippocampal place area (PPA)
Linguistic Processing
Natural language models analyze your copy — subject lines, body text, CTA phrasing — predicting how Broca's and Wernicke's areas process meaning, urgency, and persuasion signals.
Brain regions: Broca's area (language production), Wernicke's area (comprehension), angular gyrus (semantic integration)
Cortical Activation Mapping
A transformer-based encoder fuses multimodal features and predicts fMRI-level blood-oxygen-level-dependent (BOLD) signals across the entire cortical surface — the same signal measured in brain scanners.
Output: Predicted activation across ~20,000 vertices on the fsaverage5 cortical mesh, covering prefrontal, parietal, temporal, and occipital regions
Model Architecture Pipeline
Feature Extraction
Vision + Language models
extract stimulus features
Multimodal Fusion
Per-modality MLPs project
into shared 256-dim space
Transformer Encoder
Self-attention + positional
embeddings over time
Cortical Prediction
Maps to ~20K vertices
with temporal smoothing
Why This Matters
Most Emails Fail Because They Ignore The Brain
Attention is finite
The human brain processes email in 3-5 seconds. If your visual hierarchy doesn't align with how the visual cortex scans, your message is lost before it's read.
Emotion drives action
The anterior cingulate cortex — your brain's motivation center — must activate for a click to happen. Color, urgency words, and CTA placement directly modulate this activation.
Language complexity kills conversion
When Broca's area (language processing) encounters cognitive overload — dense paragraphs, jargon, passive voice — comprehension drops and the reader disengages.
Research Foundation
TRIBEv2: Foundation Model for In-Silico Neuroscience
d'Ascoli et al., Meta AI Research, 2026. Predicts fMRI brain activation from multimodal stimuli across ~20K cortical vertices.
Neural Encoding Models for Naturalistic Stimuli
Trained on Algonauts2025 and Lahner2024 datasets capturing brain responses to natural viewing, listening, and reading tasks.
Hemodynamic Response Function Modeling
Gaussian temporal smoothing accounts for the ~5-second BOLD signal delay, providing accurate predictions of sustained brain engagement over time.
Multimodal Feature Fusion Architecture
Transformer encoder with modality dropout — the model learns robust cross-modal representations that generalize across visual and linguistic email elements.
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Analyze Your Email's Neural Impact — Free
Upload a screenshot of your email template and get a full brain activation analysis in under 30 seconds.