Contact Us Today For Information About Maintenance Services Tailored Specifically For You! (303)-388-3052 OUR STORY Why We Are Here Running a successful business takes time and there is never a shortage of tasks on your ‘to do’ list. Our founders, Tito Muniz and Mike Mendoza know how frustrating it can be to work in an office or facility that hasn’t been cleaned properly. That’s why we do what we do. Maintenance Resources, Inc, is the premier commercial cleaning company headquartered in Denver, Colorado, and our team has over 31 years of janitorial and commercial cleaning experience, We provide first-class cleaning services across 16 states that include commercial and office cleaning, construction cleanup and snow removal. When you bring us on-site to clean your office or facility, our team becomes an extension of yours. We believe you shouldn’t have to worry about the cleanliness of your building — leave that to us. We are proud to be trusted by Fortune 500 companies, local businesses, government agencies, and schools throughout our service areas. How We Got Here! It all started 30 years ago at Faith Bible Chapel in Arvada, Colorado when Tito Muniz was tasked with assembling a team to take care of the maintenance work around the Chapel. Little did Tito know, but he would end up hiring his best friend and future business partner Mike Mendoza. Fast Foward 30 years later and here we are with Tito and Mike paving the road for our team to expand and be successful. Over the years Mike and Tito have learned the ins & outs of running a successful maintenance business. Our objective is to build positive relationships with our clients, employees, and vendors that will provide opportunities for growth and development. Copyright © 2020 Maintenance Resources Inc - All Rights Reserved. (303)-388-3052 EMPLOYMENTPRIVACY POLICYTERMS OF SERVICECONTACT USFAQSMAKE A PAYMENT We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data. ACCEPT