Symphony have developed an entirely new Solution for Predictive Maintenance using the Internet of Things with Machine Learning. We have entirely re-imagined how maintenance is conducted, focusing on management. Existing preventative maintenance solutions rely on providing raw data for hard to find and expensive technicians to manually analyze. We remove that whole layer of complexity, focusing on delivering simple, actionable alerts to potential machinery problems. For a relatively small investment, facilities can start to engage with our solution which is an investment, not a cost, since there will be a significant return in reduced unscheduled downtime as well as a reduction in un-necessary planned maintenance. Once the benefits have been demonstrated in a facility, scaling to include as many machines as necessary is simply a case of installing additional sensor hardware and the associated SaaS license. A low incremental cost investment process that will require little direct additional input from our sales and technical support teams, facilitating the possibility of rapid to exponential growth. Managers of facilities for the first time can track the productivity of their machines easily with clear notifications and solutions. Substitutes required a deep understanding of waveforms and mathematics. We do not train humans, we train AI algorithms with even denser data, so you do not have to, allowing managers to track a machine's performance against itself and others over different periods, from days to years. Timely providing the right management information to keep all the wheels of industry turning.