Replace manual inspection with computer vision that verifies room cleanliness in under 60 seconds — delivering a real-time verdict with photo evidence to every stakeholder simultaneously.
How It Works
No hardware. No IT project. Live in five minutes with a CSV and a QR code.
01
Housekeeping taps a door QR code or scans via the app. Room identified instantly — no manual entry, no shared passwords.
02
Staff photos each area through the CleanCheck app. The checklist guides every item — no training required, any language.
03
In under 60 seconds, computer vision returns Pass or Fail with annotated photo evidence and specific issue notes.
04
On Pass, room status updates automatically. No phone calls. No walkie-talkies. No lag between cleaned and available.
Why CleanCheck AI
Every competitor treats housekeeping as a task recipient. We built the product for the people doing the work.
Computer vision verifies every room. Not a checklist app with a dashboard bolted on — the AI is the product.
Every pass and fail is documented with timestamped photos and bounding-box annotations. Dispute-proof records by default.
Upload a CSV, print QR codes, you're live. No PMS integration required to start. No IT dependency — ever.
Staff see instant pass confirmation and streak counters. Retention tool as much as an inspection tool.
Accuracy ring, room status board, photo evidence panel, full audit trail. Everything visible in one place.
Opera, Cloudbeds, Mews. Room status syncs automatically to the front desk when you're ready to go deeper.
The Team
Domain expertise and Fortune 50-scale engineering, together in Cincinnati.
Christopher A. Seibel
Co-Founder & CEO
Twenty years as a traveling broadcast technology professional with Disney/ESPN, Fox Sports, and NASCAR Media Group. Logged 200+ days per year in hotels across every tier of the market. He has lived the lag between "room cleaned" and "room available" for two decades — and built a business from scratch straight out of high school.
Gregory S. Hayes
Co-Founder & CTO
Senior Director of Architecture at McGraw Hill, overseeing multi-cloud governance across AWS, OCI, and Azure for a publicly traded global learning technology company. Career spans P&G, HP (EU Idol award), Red Hat, and Wells Fargo. Pioneered ML-based spam detection using Bayesian modeling in the early 2000s. Gartner forum presenter.
We're accepting early hotel partners in the Cincinnati market. No commitment — just a conversation about what verified cleanliness could mean for your property.