A kick-off workshop with our experts on board to identify ML opportunities while building a well-formulated ML project in order to provide momentum in your organization and the people involved.
Plan and design the ML infrastructure for the project. Define a clear development path from your data platform to ML model deployment and experimentation while leveraging your current technical stack and compliment with new ML infrastructure when necessary.
Analyse and explore your data, build the right feature extraction ETL, find the right models in order to solve the problem accurately and efficiently. Experiment on multiple configurations and hyperparameter tuning and finally visualize and interpret model’s results.
Design, build the appropriate orchestration pipeline for building, training and deploying the developed models into production. Performance monitoring is of crucial importance to close the virtuous ML loop: more data, better model leads to better product.
Plans & Features
You are free to build your own custom plan by selecting features from the table below that match your needs. We offer solutions with either short duration, in the form of fast explorations (2-4 weeks), standard (2 - 4 months) or heavy and long term solutions (up to 12m).
Cost is determined per case, taking into consideration all provided resources and requirements, the involved task complexity, the amount of involved data and the time that is to be allocated.
We provide the following indicative plans.