InLife project will explore how a combination of advanced Ambient Intelligence (AmI) and Knowledge Management (KM) technologies can be used to assure a sustainable and safe use of manufacturing and assembly lines (MAL) and their infrastructure over their life-cycle. InLife specifically will improve the whole service-life operational costs and impact of MAL, providing new ways to monitor on-line Life-Cycle Parameters of MAL and improved services to support MAL along its whole life-cycle. To achieve these strategic objectives the project will provide: (a) new InLife methodology on how to apply a combination of AmI technology integrated in manufacturing processes and KM solutions to provide services and optimise life-cycle management of a MAL, addressing organisational issues regarding cooperation strategy within the extended enterprise (EE) concept, and (b) generic and widely applicable, modular Life-Cycle Management System (LCMS) based on multi-agent technology. These approaches will provide cost and time effective ways to collect higher amount of information/knowledge that up to now were practically impossible to acquire. The main originality lies in an effective combination of AmI and KM technologies to optimise life-cycle of complex MAL. AmI information and knowledge gathered within an EE environment along different life-cycle sectors of a MAL represent an untapped resource for optimisation of life-cycle of industrial installations and processes and for provision of services over the whole life of MAL. The InLife system and methodology will be tested by different business cases with end-users and vendors in the consortium, addressing different manufacturing concepts: highly automated and a combination of manual and automation MAL. The project will provide as exploitable results: methodology to apply AmI and KM technologies to assure optimal life-cycle impact of MAL, and a set of LCMS components applicable in different industrial environments.