Engram is a digital twin of how a brain responds to your video. It predicts second-by-second engagement across ~200 named brain regions, before you ever hit post. Real neural signal from published fMRI research (MedARC, MIT-licensed).
Engram is built on MedARC, an open brain encoding model from the Algonauts 2025 challenge. It learns from real fMRI recordings of people watching video (the Courtois NeuroMod dataset), so it can predict the cortical response your video would trigger across roughly 200 named brain regions.
Most tools hand you a single grade for the whole video. Engram predicts activation at every second across ~200 named brain regions, normalized 0 to 100, then marks your strongest hook, every dip, your best CTA window, and flags scenes that hold too long right as attention drops. You see the exact frame people lean in, and the exact frame you lose them.
Every dip gets a cause. Engram splits engagement into three separate tracks: what's on screen, what's being said, and what's being heard. Then it tells you which one led the drop and how hard. So the fix is specific, not a shot in the dark.
Engram reads its own neural signal and writes it up in plain language: what's working, where it dips, and the exact edit to try, tied to a timestamp. Like notes from a sharp editor, not a report from a lab.
Link your account and analyze any post you choose. You pick which ones; it never sweeps your whole library on its own. See what your best-performing hooks have in common. Instagram first; more platforms soon.
We're onboarding a small group of creators first. Join the waitlist and we'll reach out as spots open up.