Automotive
OZOSÌ, an exclusive system for the AUTOMOTIVE sector
To date, wiping a car’s passenger compartment with chemical cleaners, using aerosol cans to purify the air conditioning system and covering odors with various fragrances are measures deemed insufficient to ensure absolute hygiene and enjoy the pleasure of getting into a vehicle that smells as if it were brand new. The innovative ozone treatment with the patented OZOSÌ system is a totally reliable solution.
The OZOSÌ systems allow you to sanitize all means of transport (cars, motor homes, buses, ambulances, trains, boats and aircrafts) in a short time. Thanks to its patented ozone-based operating system, it attacks various organic compounds by oxidizing and inactivating them (odors, residual smoke, dust mites, bacteria, fungi, molds and viruses).
Being patented, our devices produce, manage and re-convert any excess ozone, restoring a vehicle’s interior and allowing immediate use in complete safety.
The OZOSÌ treatment is recommended at each check-up or even every day, as circumstances may warrant.
A new business image for you
Sanitization with OZOSÌ is an additional service that meets your guests’ growing hygiene requirements, increases the car’s comfort and enhances your company’s image. Customers will be happy to purchase this exclusive service.
How does it work?
STEP 1
After standard thorough cleaning, the operator specialized in the use of OZOSÌ accesses the vehicle’s interior.
STEP 2
Sets up the climate system recirculation
STEP 3
Sets the time according to the cubic capacity of the vehicle and activates the equipment.
STEP 4
Exits, closing the vehicle
STEP 5
After the necessary time has elapsed, the compartment and climate system have been cleansed and are devoid of bacteria, molds, mites, odors and spores
STEP 6
The operator enters and removes the equipment. Prior to leaving the vehicles, he affixes an OZOSÌ fold-out card on the rearview mirror, which certifies the completion of the sanitization treatment.
PRE- and POST-TREATMENT bacterial elimination data
