The most important part of any project is to understand the requirements clearly from the Customer. Reviewing current capabilities to make recommendations for tools, teams, and processes. We will also put together technical documentation during this phase.

Test a small-scale system, proving the viability of our predictive models for the problem.

Inserting mathematical models & algorithms into production while considering costs of implementation and maintenance during deployment.

We will test the tool for valid and invalid responses and make any updates to copy that is required to ensure the user experience is as seamless and natural as possible.

Once the tool is approved, we will deploy it to the agreed channels and will actively monitor it in the crucial post-launch phase. We will respond quickly to make any tweaks that are needed.

Modernization of previously built models to continuously raise the quality of insights.