METHODOLOGY
We use agile methodologies and dynamic and mixed composition teams to ensure quality and accurate delivery.
STAGES IN THE WORK METHODOLOGY
01
Data input
Together with the client, we select a use case, define the business objectives, identify the set of data that must be provided and establish the project roadmap
02
Algorithm development
At backoffice, we do research on the best algorithm to model the dataset for that specific use case. We create a state-of-the-art machine learning system, which will be used to generate predictions.
03
Cloud deployment
We handle the configuration of data pipelines, the scheduled retraining of the model from new data, and the provisioning of the model in high availability.
04
Dashboard visualization
We deliver an online dashboard for the client to make decisions based on the model's predictions that can be accessible from any platform.
CONFIDENTIALITY
When we work with a client, we sign an NDA (Non-disclosure-agreement) that obliges us to keep confidentiality about their data, their use cases and the solutions applied