Our belief is that, to come to an exceptional solution one needs to have a clear and in depth understanding of the problem. With this in mind, our team works closely with each client to discover and understand the problem. We accomplish this with meetings, whiteboard sessions and brainstorming sessions while utilizing our internal and outside domain expertise. This provides us valuable insight into client’s perspective thus allowing us to converge to unique and more efficient solutions.

We pay a high attention on the data analysis phase where we go through many statistical analysis and representations. In this analysis phase, we continue the back and forth communication with the client which we started in the Discovery phase since we believe that effective products and services are an outcome of clear communication as much as they are on algorithms, skills and technology.

With the in depth understanding of the problem, the data, and the environment and conditions under which the end system will operate; we begin designing the architecture. Here, we apply our vast expertise ranging from statistics to machine learning, databases to front end interfaces, and so on to create a custom architecture which is tailored to the scenario. With an architecture for the system in hand, we develop a prototype (a model as a POC) to demonstrate the viability of the method(s) selected. 

Once the client is satisfied with the prototype, we begin development of the system. Here, we go through the architecture again to fine tune any aspects if necessary and start the development and testing cycle. We use standard quality assurance and data science specific testing which cover both manual and automated test sequences.  We continue our support to the client in the maintenance of the system as well as provide the client with opportunities for new upgrades which we come up with our research division.