Nanodems GenAI turns the cameras your stores already run into an always-on auditor for safety, operations and customer experience — and tells you the moment something needs attention, with the exact frame attached.
A chain runs tens or hundreds of branches. Head office can't be in all of them, and a district manager walks each store maybe once a month. In between, standards drift quietly — a fire exit stacked with boxes, a till left open, half-empty shelves, a dark signboard at night. Nobody at HQ knows until a customer complains or an inspection fails.
Issues surface through complaints, mystery shoppers and the occasional site visit. By then the lost sale, the safety risk or the brand-standard slip has already happened — repeatedly, across branches you never got to.
The platform reads your camera feeds on a schedule you set, judges each frame against the standards you care about, and raises a clear alert — with the photo — only when something is genuinely wrong.
Standard IP cameras feed snapshots to the platform. No new hardware on site, no rip-and-replace.
Pick from the built-in library or describe your own check in a sentence. Set the zone, schedule, severity and who gets told.
A vision-language model looks at each frame and answers the question behind the rule, returning a reading and a confidence score.
Confidence, persistence and cool-down filters cut the noise. A real issue arrives on email, Teams, WhatsApp or a phone call.
One system for compliance, operations and customer experience — designed for chains, tuned so it never cries wolf.
Safety, operations and customer-experience rules ready to switch on for your sector from day one.
If you can describe it in a sentence, the model can watch for it. Your scenario, your wording.
Draw the exact part of the frame to inspect — the fire exit, the till, one shelf — and ignore the rest.
“It should look like this.” Compare the live view against an approved planogram or setup photo.
Run during open hours, closed hours, around the clock, or on a precise schedule per branch.
A confidence floor, sustain-across-checks and cool-down windows keep a one-off frame from spamming your team.
Optionally hold detections for a person to confirm before any alert fires — every correction is kept as training data.
Email, Microsoft Teams, WhatsApp and automated phone calls — chosen per rule and per severity.
Per-branch health, pillar scores, trends and reports across your entire estate.
Aggregate footfall, demographics and sentiment read from the same frames. Counts only — never identities.
Multi-tenant with role-based access — including a dedicated reviewer role — and a 9-language interface.
Standard cameras in, snapshots stored per branch with a retention window you control.
Every check sits under one of three pillars. Turn on what fits, adjust the thresholds, and leave the rest off — each rule ships with a sensible default threshold, schedule and severity.
The library is a starting point, not a ceiling. Anything a person could judge from a camera frame, the platform can be told to watch — in your words, on your terms.
State what “good” looks like, pick the operator and threshold, choose the schedule, severity and channels. The model does the rest.
Upload a reference photo — a planogram, a window display, a mannequin — and the platform flags any branch that drifts from it.
Apply a rule to the whole chain, one branch, or a single camera and zone. Different branches, different standards — all in one place.
For sensitive checks, hold detections for your team to confirm or correct before anyone is alerted — and grow a labelled dataset as you go.
No facial recognition and no identification of individuals. Visitor analytics are aggregate counts, never personal data. Each customer's data is strictly isolated, and snapshots are kept only for the retention window you choose.
Per-branch health, pillar scores and live alert status roll up into the same Nanodems console your team already knows.
Let us show you live.
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