Use case · Retail loss prevention
Loss prevention from the cameras you already own.
MediaIntel reads in-store CCTV frame by frame - theft, sweethearting and exit-without-pay surfaced as timecoded events your team can review, on the cameras and storage you already run.
- 20×cheaper than manual review
- < 10 minto read an hour of footage
- 0new cameras to install
- Nofacial recognition or watchlists
What the engine does for retail LP teams
Reads the floor, flags the moment.
Incident detection
Concealment, sweethearting and exit-without-pay caught as timecoded events - each with the clip and the reason it was flagged, ready for an analyst to confirm.
After-hours & zone events
Entries, after-hours access and restricted-zone activity surfaced from the same feeds, so the back-of-house is watched as closely as the floor.
Evidence, not just an alert
Every event ships with its clip, timecode and the signals behind it - a self-contained record an analyst can action or hand on.
One aisle, read frame by frame.
Concealment and exit-without-pay surfaced as timecoded events - each with the clip and the reason, ready for an analyst.
A fictional example, shown to demonstrate the pipeline.
Store floor · self-checkout · ceiling-mount
How it lands in your stores
On the cameras and storage you already run.
No rip-and-replace
RTSP, ONVIF, S3, file dumps - whatever your cameras and archive already speak. No new fleet.
Near-real-time or archive
Watch live feeds for events as they happen, or run a years-deep archive through the same pipeline.
Your data, your region
EU, US or on-prem for enterprise pilots. Encrypted in transit and at rest, full audit log, never used to train upstream models.
Our promise to retail teams
Signal you can act on - not another dashboard to staff.
- Timecoded incidents from the CCTV you already own
- Every event carries its clip, timecode and rationale for review
- 20× more cost-effective than watching the footage by hand
- A two-week pilot on your real footage, measured against ground truth you control
Questions retail teams ask first
No. We read behavior and events on the floor - concealment, exit-without-pay, after-hours access. No facial recognition, no biometric watchlist.
Test it on your shrink.
Bring a slice of footage from your highest-shrink stores - we'll run a two-week pilot and return classified, timecoded events measured against ground truth you control.