Deep Learning is more of an extension to Machine Learning where the outcomes of Machine Learning analysis is consumed, compared against a set of Neural Network paradigms with a larger set of data sets, to enable a more human like conclusive decision making for the systems in question.
We typically work the curve of data over a step by step cycle and work over a rapid design and development cycle, to take pilots into turnkey and production ready systems through an agile transformation path.