First, we take time for research and discovery. Here, we look closely at a software idea, user pain points, value proposition, etc., to come up with a tech stack and the team needed to do the work.In the second stage, we start working with the client’s data and prepare it for algorithm training. Our AI engineers turn to the Cross-Industry Process for Data Mining (CRISP-DM) and apply it cyclically for the best results.Then, we proceed to the modeling stage, where we apply the collected data to train the project’s model.At the last stage, the CHI team evaluates the job done and decides whether the model requires more training or is ready for deployment.