AI/ML Development
and Data Science

The purpose of the pilot is to make sure that the project is feasible before you invest a lot of time, money, and resources. We start by defining what this will do for your business.  It’s only after you approve the Proof of Value that we proceed with the rest of the Pilot phase.

Once we've defined what this project will do and how it will help, we hold a 2 day kickoff workshop. This workshop is intended to not only educate your staff on any relevant concepts that might still be fuzzy, but to use our experience with existing models used by various industries to help you define both the model that will be best for you and the data to train it. If you don't have sufficient data, we'll define the data that needs to be generated. Also if you have unlabeled data, we'll define the process to label that data.

Now we're ready to really get going and build your applications. In this stage, we'll be creating everything needed for your AI/ML systems to create the results you need. We'll be finding, creating, cleaning, and labeling data (if necessary), then training or tuning models as necessary. If it's a good fit, this is where we bring RAG best practices into the process.