Plans, performs, adapts, and documents autonomous commercial floor-cleaning routes with proof-of-work reporting.
Operators responsible for retail stores, warehouses, malls, healthcare buildings, airports, education facilities, hospitality sites, floors, cleaning robots, routes, obstacles, and facility teams cannot continuously inspect every operating condition or developing fault. Periodic checks leave gaps between readings, while isolated local indicators provide limited history and context. A late response can cause downtime, safety exposure, equipment damage, or incomplete compliance evidence. Teams need timely measurements, clear exceptions, and a defined operating response.
BrainOS Autonomous Commercial Floor Care combines connected field data with application software. BrainOS-powered Tennant scrubbers capture route maps, position, obstacles, cleaning progress, coverage, operating state, and supported visual or safety events. Clean 2.0, SelfPath AI, fleet tools, and proof-of-work reporting generate and adapt routes, track coverage, surface exceptions, and document completed cleaning. Facility teams schedule jobs, supervise fleets, resolve blocked or incomplete work, verify cleaning coverage, and redirect staff to specialized tasks.
Teams configure the monitored assets, users, and operating rules. BrainOS-powered Tennant scrubbers capture route maps, position, obstacles, cleaning progress, coverage, operating state, and supported visual or safety events. BrainOS-powered robots exchange task, sensor, image, and operating records with supported applications; no universal network bearer is stated. Clean 2.0, SelfPath AI, fleet tools, and proof-of-work reporting generate and adapt routes, track coverage, surface exceptions, and document completed cleaning. Facility teams schedule jobs, supervise fleets, resolve blocked or incomplete work, verify cleaning coverage, and redirect staff to specialized tasks.
Vendor documentation: vendor website
Evidence level: L3 · Case-documented: how evidence levels work
BrainOS-powered Tennant scrubbers capture route maps, position, obstacles, cleaning progress, coverage, operating state, and supported visual or safety events
BrainOS-powered robots exchange task, sensor, image, and operating records with supported applications; no universal network bearer is stated
Clean 2.0, SelfPath AI, fleet tools, and proof-of-work reporting generate and adapt routes, track coverage, surface exceptions, and document completed cleaning
Facility teams schedule jobs, supervise fleets, resolve blocked or incomplete work, verify cleaning coverage, and redirect staff to specialized tasks
Designed for retail, warehouses, malls, hospitals, airports, schools, universities, hospitality properties, factories, and other large commercial facilities
Authorized users can review current status, history, and operating exceptions
Attributes fewer than 20% of comparable Retail & Hospitality listings share:
A Tennant T16 autonomous scrubber shifted routine floor care to robotics while improving safety and staff focus.
Autonomous scrubbers support more efficient, consistent and high-quality cleaning
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