VLM Low Moisture Cleaning
There are many ways to clean a carpet, some methods are more effective than others. Without a doubt, low moisture cleaning provides various benefits for industrial, commercial, and home flooring care. For many reasons, very low moisture cleaning methods are the most current trend. Very Low moisture cleaning is also known as dry cleaning.
Dry carpet cleaning involves the use of specialized machines to clean your carpets with latest machinery and green products that allow no-moisture or “very low moisture cleaning”. All-Pro Carpet Care uses a counter-rotating brush machine that agitates the carpet resulting in a deeper carpet cleaning experience.
Here are benefits of Very Low Moisture advantages
- Quick drying times (at least 30 minutes depending on carpet soil level)
- Built-in (Scotch Guard) carpet protector
- VLM cleaning is cheaper than other traditional carpet cleaning methods
- Our professionals can clean your carpets in as little as one hour
- Eco-friendly products using 1/8 the water of traditional carpet cleaning methods
All-Pro Carpet Care also offers Truck Mounted Very Low Moisture Cleaning process. This type of cleaning reduces the reappearing of the stains. In the process of water extraction, steam cleaning uses 20-60 gallons of water depending on the soil level and the size of the home. All-Pro Carpet Care very low moisture cleaning uses 3-4 gallons of water depending on the soil level and size of the home. Contact us today at a 661-747-4441 to know more about our cleaning services.
Key Benefits of the Service
Keeping your carpets and rugs clean is one of the most important things you can do to make your house a home. Let our carpet cleaning in Bakersfield help you keep your most heavily trampled pieces dirt-free and smelling fresh.
We perform professional Hot water extraction and Dry carpet cleaning services. Here is what you'll get with each:
100% satisfaction guarantee
Fully insured and vetted technicians
Flexible booking slots
Fast drying time
Using the most powerful water extraction method