Enigma Vehicle Systems PLC started business in 1991 when there was a high level of commercial vehicle and construction plant theft. Our goal was simple; . To provide market leading products & services and thus reduce vehicle theft. Throughout the decade the business grew with an expanding base of customers, of all sizes, who turned to Enigma for advice and products to improve their security. Our expertise, and service, also expanded with a national, mobile engineering team, 24 hour service, ISO 9002 and VSIB accreditation. During this time Enigma worked closely with operators, Security Consultants, Police, Insurers and the Vehicle Security Installation Board (VSIB) . We continue to value and develop those relationships today. In 2003 Enigma took a large step forward and commissioned the Skyline advanced vehicle tracking and security system. The intention was to offer a world class security, tracking and fleet management system with the flexibility to use products appropriate for the application. Skyline went live in July 2004 and has become one of the market leading systems, especially in the construction, utility and plant rental business. Theft recovery has been so successful that, to the end of 2007, over 42 GBP million of plant had been recovered using Skyline. Growth, both in UK and Worldwide has been rapid with partners in Latin America, Europe, Africa and a joint venture business, based in Dubai, UAE, serving the Middle East region. With over 20, 000 vehicles monitored and close to 1, 000 customers enjoying the benefits of Skyline Enigma Vehicle Systems can be regarded as one of the leading business in the remote asset management field. The business has doubled in size each year as customers recognise the value of Skyline, Enigma or one of our global partners. Going forward Enigma is investing heavily in new technologies to provide greater control and information over remote assets. These technologies include satellite communications, active and passive RFID tagging, personal / portable tracking and improved data analysis modules.