Threads is a Cloud-based software service the authors describe as a message hub. It allows an organisation to store, search and share all its digital messages – emails and phone calls – to improve collaboration and productivity and to extract otherwise hidden information. Information overload and privacy concerns have conspired to suffocate the attempts of many firms to share their own data internally. Employees have responded by treating their company mail server as a private file server, something no mail server was ever designed to be. Threads addresses these issues at source by providing a framework where large amounts of data can be shared with confidence and searched, they believe, more easily than with individual private email accounts. Threads achieves this transparently to the user and requires no changes in working practices. It uses database de-duplication, speech and speaker recognition, artificial intelligence and a raft of human factors ideas to overcome the obstacles to data sharing. This study examines the background to Threads, its technology, and the work in progress. By way of example, it discusses the Threads Enron Database. Threads, they believe, is a unique and technically novel service which they present here as case-study of an application well-suited to Cloud implementation.