MindReader
EQ in AI

How do you feel?

It is the oldest question in art and the newest question in technology. MindReader takes your content and simulates, region by region, how a brain responds to it.

Built on Meta FAIR · TRIBEv2 Read the research →
Attention Dorsal attention network

Where the reader locks focus. Activity here spikes on novelty, urgency, and anything that breaks the rhythm of what came before.

In the real world Super Bowl ad testing · Nielsen / Neuro-Insight · $8M per airing
See it in action

Watch it read every word.

Maya's discovery call, played back at the speed of thought. The model reads each line and shows which words pulled attention, felt personal, or fired a gut reaction.

View Maya's preloaded result Open a finished report without waiting for a new run.
Reading call
Attention · 0.89
Usually when those two things happen together, someone is trying to ramp reps faster without making managers listen to every call manually. Is that close?
Three systems · live
01:04
Mapped systems

One cortex. Seven systems.

Every run returns seven readings — one per cortical system. Click a system to see where it lives. The same surface shows up in your own results.

Attention
Dorsal attention network
Where the reader locks focus. Activity here spikes on novelty, urgency, a sharp cut, a personal stake — anything that breaks the rhythm of what came before.
Corbetta & Shulman, 2002
The science

Peer-reviewed. Population-tested.

720+
people's fMRI behind every prediction — TRIBE v2's training set
20,484
brain surface points individually modeled per run — every region, every time
1,000+
hours of fMRI in the model (Meta FAIR)