The move to clean energy is the single biggest transformation the world will see in the next 30 years. Climate change is going to drive this move even further and faster than imagined. And trillions of dollars are going into building increasingly more renewable generation and energy, and on research. The missing link as more clean generation and storage comes online are the right analytical and operational capabilities to manage and monetize this growing fleet -- to balance the variability of generation with more electric vehicles on the road, varying customer requirements, changing behaviours, etc. And the winners will deliver sophisticated, user-friendly analytics and software to manage this fleet and deliver outsized returns. This space alone will be a $50bn market by 2030. The current pain points the customer faces are an overabundance of analysis that is not actionable, not measurable, and mostly theoretical. Operationally, forecasts and analysis are tightly coupled making it difficult to compare different strategies from multiple sources and impossible to choose the best-of in an apples to apples comparison. Solutions must deliver profitable, clear to understand valuations and dispatch profiles that are easy to use. Built in support for mixing and matching data from different vendors to create a best of analysis for even better results is also essential. Financial Machines does all of the above. With equal parts of DNA from trading and risk management, analytics, and technology, Financial Machines' solutions stand apart from the crowd. In every case, customers have chosen Financial Machines because (a) the additional trading and risk management dna of the solution provides a practioners context to the analysis and allows the customer to connect the activity to the real world, and (b) viewing analysis through the lens of the current market conditions illuminates otherwise hidden dimensions of valuation results.