In our synthetic environment (the machine learning digital twin ecosystem) we trial every single possible scenario, whether that be weather and wind, or the many different manoeuvres a drone can execute. Using reinforced learning, the ecosystem will choose the best outcomes, and therefore learn to optimise, plan or test a scenario. This allows organisations to test and evaluate rapidly and solve problems in a simulator, not in the expensive real world, and rapidly generates high performance real-world capabilities.