CloseOut

Close Out

Information Technology And Services, Newark, Delaware, United States, 11-50 Employees

closeout.cloud

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phone no Phone Number: 38* 11*******

Who is CLOSEOUT

CloseOut is a cloud-based SaaS solution for real-time field service management of fieldwork in any industry which requires it. CloseOut users manage quality supervision of all types of fi...

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  • Newark, Delaware, United States Headquarters: Newark, Delaware, United States
  • 2018 Date Founded: 2018
  • 11-50 Employees: 11-50
  • dollar-icon Revenue: $1 Million to $5 Million
  • tech-icon Active Tech Stack: See technologies

industries-icon Industry: Information Technology and Services

SIC SIC Code: 73 | NAICS Code: 81 | Show More

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Frequently Asked Questions Regarding CloseOut

Answer: CloseOut's headquarters are located at Newark, Delaware, United States

Answer: CloseOut's phone number is 38* 11*******

Answer: CloseOut's official website is https://closeout.cloud

Answer: CloseOut's revenue is $1 Million to $5 Million

Answer: CloseOut's SIC: 73

Answer: CloseOut's NAICS: 81

Answer: CloseOut has 11-50 employees

Answer: CloseOut is in Information Technology and Services

Answer: CloseOut contact info: Phone number: 38* 11******* Website: https://closeout.cloud

Answer: CloseOut is a cloud-based SaaS solution for real-time field service management of fieldwork in any industry which requires it. CloseOut users manage quality supervision of all types of fieldworks including site surveys, installation and integration services, preventive and corrective maintenance services and any other field service that might be needed. Our goal is to offer construction professionals a turnkey solution for the management of their operations, from health and safety compliance audits, real-time fieldwork quality control, workforce management, site hygiene and hazard prevention, all the way to as-built documentation automation. CloseOut helps companies to reduce costs of their operations by efficient management of their fieldwork including eliminating the need for multiple returning back to sites due to bad performance of previous activities, increase project efficiency by streamlining project workflows and quality control procedures and improve organization and communication between team members. It also enables the automation of fieldwork quality control processes based on machine learning algorithms.

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