Sensitive Data Removal 

Our software improves access and stimulates the use of applied knowledge within the organization for the preparation of new client work product. By successfully removing barriers to knowledge sharing, BeeDrive stimulates knowledge worker efficiency and productivity to improve the quality and speed of service while reducing cost.

• Facilitate the re-use of your organization’s best practice work product and enhance the quality of client services.



• Stimulate internal knowledge sharing and improve speed of client services.



• Increase your organization’s manager / associate leverage ratio and reduce client services costs.

The collective body of work product is the organization’s largest knowledge asset, worth millions of dollars. Unfortunately, client memos, presentation and proposals are often not fully leveraged in the organization’s knowledge sharing initiative because of client confidentiality constraints.

BeeDrive has developed a web-based software module that can identify and replace client sensitive information (including company names, individual names, locations, telephone numbers and e-mail addresses) from Microsoft Word and PDF documents. Our software allows the user to quickly and efficiently transform client work product into anonymous learning documents that can be used in the organization’s knowledge sharing initiative.

The web-based sensitive data removal software offers great flexibility with centralized deployment and easy maintenance. Our software contains patent pending Natural Language Processing techniques and offers a unique approach to named entity recognition with high precision and recall. Furthermore, the software design allows for easy customization to different languages and language domains.

Here is how it works:

Upload document From the desktop, the user uploads a Microsoft Word or PDF document to the server.

Extract sensitive data Intuitive extraction and editing functionality allows for quick and accurate extraction and of client sensitive information to convert the document into an anonymous learning document.