What it sells
Edge AI platform.
Business model breakdown
Buyer: who owns the budget?
UnverifiedLoss-prevention, store operations and IT/innovation leads at grocery chains.
Trigger: what makes them buy now?
Shrink at self-checkout, scales and POS (undetected in real time); cloud AI too slow and costly.
Workflow: what inputs become what output?
On-device AI on existing checkout cameras, scales, scanners and POS detects non-scans, barcode switching, mislabels and unscanned cart items, intervenes or alerts staff, and identifies loose produce without barcodes.
Economics: what it saves and how it charges
Sold as platform with 12-week pilot on existing hardware (no new capex); claims 5x faster fresh-item checkout, 69% fewer mislabels, 98.9% accuracy, 8,000+ devices in 2,042 stores.
Distribution: how it reaches customers
Demo-led (book a demo by email), retailer pilots, OEM/hardware partners.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| 2026-08-10 | — | $9M | — | news.google.com |
Profiles summarize public reporting and company websites. Business-model notes are MaxBC's reading of that material, not confirmed facts; unknowns are left blank rather than guessed. Updated 2026-10-12.