Engram is a brain encoding model trained on fMRI data and built to read ads, video and photo alike. It predicts how an average brain responds to your ad and returns four validated signals: Sight, Sound, Attention, and Story, each read from the brain regions corresponding to that signal. Second by second, before you spend a dollar on media. MIT-licensed data underneath.
It starts with context. Tell Engram where the ad will run and what it is trying to do, and the readout is tailored to your needs.
Press play and the film runs in sync with a map of 1,000 brain regions. Pause anywhere and you get a readout of that exact moment: which regions are activated and which are not, which input stream is driving it, and what is on screen while it happens. Every claim about what a region does carries its citation from published research.
Engram gives you an overall read of the ad on four validated signals (Sight, Sound, Attention, Story), both good and bad, with suggestions on how to improve activation in each signal. Scores are calibrated across past ads that Engram has run on.
Upload two cuts and Engram scores both with the same frozen model, so the numbers are directly comparable. It will tell you exactly where the cuts genuinely differ and which input stream the difference comes from.
We're onboarding a small group of agencies and brand teams first. Join the waitlist and we'll reach out as spots open up.