What it sells
Self-Checkout using Computer Vision.
Business model breakdown
Buyer: who owns the budget?
UnverifiedOperator or foodservice/retail operations head at venue or store chain.
Trigger: what makes them buy now?
Long lines at peak times and labor cost at checkout.
Workflow: what inputs become what output?
Customer places items on kiosk, 3D vision plus AI identifies them in under 0.5 s without barcodes, tap to pay; one cashier supervises several kiosks.
Economics: what it saves and how it charges
Hardware kiosk plus software; claims 4x faster checkout, 125% more sales when lines long, 1 cashier to 3-4.
Distribution: how it reaches customers
Request Demo, direct sales, regional support, integrations with POS.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Winter 2015 | — | Y Combinator | ycombinator.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.