AI and robotics companies pay real money for everyday footage, sensor data, and usage patterns to train their models. MON$TER helps individuals package and license their own data safely — anonymized, never sold as PII, structured to pay recurring instead of a one-off check.
Dashcam, home-security, or activity footage that shows real-world movement and context — exactly what robotics and AI companies need to train models on how the physical world actually works.
Anonymized patterns of how you use apps, devices, or services — aggregated so no single person is identifiable, but valuable in bulk to model builders.
Nothing personally identifying ever reaches a buyer. You review exactly what's included before anything is licensed, and you can say no at any step.
A single batch of footage or usage data, sold once to one buyer. Fine money for a moment — then it's over.
An ongoing stream of anonymized footage or activity data, licensed on renewing terms to multiple buyers — the longer you keep capturing, the longer it keeps paying.
Tell us what kind of data you generate — footage, device usage, activity data. We screen for fit against live buyer demand.
If there's a real opportunity, we help you prepare a compliant, anonymized sample — you approve exactly what's shared.
Your data goes to a private auction of qualified AI and data buyers. Payment is structured to recur, not a one-time payout.
Anyone who already captures footage or usage data as part of normal life or work — drivers, homeowners with security systems, heavy device users — with a real, consistent stream of data.
One-off or occasional data with no consistent volume, or data that can't be anonymized without losing its value.
MON$TER never asks for or exposes PII. Everything is anonymized and aggregated before a buyer ever sees it — you're always in control.
Free first-pass screening. No upload required to start — just tell us how to reach you.
We'll text or call you with your assessment. Not a formal valuation — a first-pass screening to see if it's worth going further.