The Most Advanced Brain-Prediction AI Ever Built. Now in Your Browser.
Brainer is powered by TRIBE v2— Meta's tri-modal foundation model that predicts human brain activity from video, audio, and text. Trained on 1,115 hours of real fMRI neuroimaging data from 700+ subjects.
What is TRIBE v2?
TRIBE v2 (TRImodal Brain Encoder) is Meta's first AI model capable of predicting whole-brain fMRI responses to complex, multimodal stimuli. It was released by Meta's Fundamental AI Research (FAIR) team in March 2026 — and it changes everything about how we understand human perception.
A Digital Twin of the Human Brain
Unlike previous models that could only predict ~1,000 brain voxels, TRIBE v2 scales to 70,000 voxels — a 70x resolution increase. This means it can differentiate whether the brain is reacting to a face or a landscape, whether a sentence activates emotional or rational processing regions, or whether a jingle mobilizes familiar memory patterns.
It was trained on 1,115 hours of fMRI recordings from 700+ healthy volunteers who were exposed to movies, podcasts, images, and text — making it the largest brain-encoding dataset ever used in a single model.
Most remarkably: TRIBE v2 achieves zero-shot generalization. It can predict brain responses for individuals it has never scanned, across unseen languages and novel task types — achieving 2-3x better accuracy than any prior method.
By the Numbers
Open-Source Foundation
TRIBE v2 was open-sourced by Meta under CC BY-NC license — model weights on Hugging Face, codebase on GitHub, peer-reviewed research paper published. This is real science, not a black box.
The Tri-Modal Neural Architecture
Three world-class AI encoders. One unified brain prediction. This is how it works.
V-JEPA2
Visual Encoder
Meta's latest video-understanding model processes every frame of your creative — analyzing color, motion, composition, facial expressions, scene transitions, and visual attention flow.
Wav2Vec-BERT
Audio Encoder
Processes the audio dimension: voice tone, music, sound effects, speech cadence, and emotional qualities of sound. Maps how your audience's auditory cortex responds.
LLaMA 3.2
Language Encoder
Meta's large language model processes ad copy, scripts, voiceover text, and on-screen messaging — predicting how language activates semantic processing and memory formation.
Unified Transformer Fusion
All three encoders feed into a single Transformer that fuses cross-modal relationships — just like your brain doesn't process sight, sound, and meaning separately. The fused representation is then projected onto 70,000 cortical surface voxels, producing a complete map of predicted brain activation. This is computational neuromarketing at its most advanced.
Brain Regions We Decode
TRIBE v2 maps key processing pathways with unprecedented resolution. Tap a region on the brain to explore what it reveals about your creative.
Tap a dot on the brain to explore
The End of Guesswork Marketing
Traditional neuromarketing requires $10,000+ fMRI studies with 4-6 week timelines. Brainer replaces the entire process in 60 seconds for a fraction of the cost.
Replace Focus Groups
Focus groups tell you what 12 people say they think. Brainer predicts what millions of brains actually do — at the neural level. No social desirability bias. No moderator influence. Pure brain data.
Kill Slow A/B Testing
Why spend $5,000 to learn your B variant lost? Pre-test 50 versions in the time it takes to set up one A/B test. Ship only winners. Save your budget for scaling what works.
Precision Creative Optimization
Don't just know what doesn't work — know why and how to fix it. “Add a face at second 3.” “Reduce cognitive load in the CTA.” “The color palette triggers low arousal.” Actionable, neural-level insights.
Science, Not a Black Box
TRIBE v2 is peer-reviewed, open-source, and reproducible. The model weights are on Hugging Face. The research paper is published. This isn't proprietary hype — it's verifiable neuroscience from Meta's FAIR lab.
From Upload to Brain Intelligence in 60 Seconds
Upload Any Creative
Video ad, static image, TikTok, YouTube pre-roll, banner, ad copy, script — drop it in. TRIBE v2's tri-modal architecture handles all formats natively.
Neural Encoding
Three encoders extract features simultaneously: V-JEPA2 processes visual data, Wav2Vec-BERT processes audio, LLaMA 3.2 processes text. A unified Transformer fuses them into a single cross-modal representation.
Brain Projection
The fused representation is projected onto 70,000 cortical surface voxels, simulating activation across the visual cortex, auditory cortex, amygdala, prefrontal cortex, and hippocampus.
Your Brain Report
Brain Score, emotion breakdown, win prediction, attention map, cognitive load rating, and surgical optimization recommendations — all in one dashboard. Know exactly what to change and why.
Stop Guessing. Start Knowing.
700+ brains trained the model. 70,000 voxels map your audience's neural response. Your next winning creative is one upload away.
7 days free. No credit card required.