LifeSaver aims at supporting manufacturing companies in optimising the energy performance of their operations. This support will be in the form of a set of ICT building blocks that combine context awareness, ambient intelligence monitoring and standard energy consumption data measurement. LifeSaver will provide: (i) comprehensive information about the energy consumption to be processed in enterprise management systems, for the purpose of achieving significant energy savings; (ii) a knowledge-based decision support system for optimisation of energy performance of operations; and (iii) appropriate (almost) online and predicted cumulative data on the CO2 emissions, as input for the decision support services to enable emission trading across industries and among companies. Nowadays manufacturing processes are increasingly complex and flexible, leading to highly dynamic energy usage patterns. To cope with such dynamics of energy patterns and to enable an efficient energy management in manufacturing processes, LifeSaver will complement currently measured energy consumption data with diverse information from ambient intelligent systems (e.g. interactions between human operators and machines or processes) and process-related measurements (e.g. temperature of a specific machine). The main objective is to enrich energy consumption data with information about the context in which the use actually occurred. This will enable LifeSaver's building blocks to access and process more complete information to target energy efficiency optimisation. Three demonstrators of the platform's application in real industrial environment, and their usage for new business models, will be provided.