Built by data scientists who ship.

NeuroVidz was founded by senior data scientists with deep experience across Fortune-500 tech firms, where they built production AI systems for video understanding, recommendation, and content moderation at billions-of-views scale. The work came up through the same loop: ship a model, watch it interact with real human attention at platform scale, learn what holds people on a frame and what makes them swipe. After enough of those cycles you stop trusting view counts and watch-time and start asking what the actual cortical signal looks like — which is the question NeuroVidz is built around.

The team's research background runs through computer vision, audio understanding, and the slow art of grounding model outputs in published neuroscience rather than in benchmark leaderboards. NeuroVidz reads a video the way a viewer's brain would — translating what's on screen into how attention, emotion, and immersion actually respond, second by second. Every result is grounded in functional-imaging research and reproducible from the same artifacts. We built the system we wished we'd had when we were running creative experiments and arguing about whose cut was actually better.