Supporting Businesses - Since 2010
Used on major projects in the US Gulf of Mexico,
MENA, Russia, India, UK and Canada.
ONE SYSTEM - ONE SOLUTION

SAAS Hosted on Microsoft Azure

               

"Cloud" and “On-premise” Server based products

       

Engineering Document Management
Quote "It is certainly far more than a simple document management tool, more an overall enterprise information/knowledge management system"
  • DocMastR stores documentation and connects project teams using document management
  • Easy controlled access of documentation to the entire organization including Clients, Vendors and Suppliers
  • Transmittal management of all Client and Vendor Documents
  • Automated Master Document Register (MDR) 
  • Look-Ahead reports are pro-active and alert document owners of the documents due within the look-ahead period, thus they assist in forward planning individual’s workloads
  • Late reports result in a reactive response. Documents appear on the Late report either because the forecast issue date was unrealistic in the first place, in which case it should be re-forecast, or, because Client, company or Vendor are overdue creating or reviewing the document
  • Greenbook Technology - Proposal Management
  • Automated Databook Generation
  • Bespoke Reporting
  • Fully Configurable System designed to meet your company's unique requirements

True Security - Choose the DocMastR Cloud solution and your information will be hosted on our replicated servers - across multiple providers (ISPs) for reliability.

Software is built to deliver ultimate performance - taking advantage of the latest hardware acceleration and cutting-edge UI virtualization.

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Handover and Databook Management



Artificial Intelligence (AI)

Users of DocMastR can look for specific information inside documents. One of the most important features of any document management system is document searching: searching for specific words, phrases, or other data in the text of a document as well as in the document's metadata. 

Then, via OpenAI, this data is made accessible for further AI study, analysis, and interpretation.


Hybrid Technology

Uses the “Cloud” for web access whilst employing Company owned “On-premise” Servers for critical data and document storage.