No-Code ML LAB
PARTICIPANTS
PROJECT
TOKII No-Code ML LAB is an innovation project focused on the development, validation, and commercialization of a no-code machine learning environment, natively integrated into the TOKII platform.
The project enables industrial professionals without specialized data science expertise such as production, maintenance, quality, or process managers to prepare their data and configure, train, and deploy predictive models through visual, guided workflows.
OUR CONTRIBUTION
The solution incorporates AutoML techniques that automate complex tasks such as data preprocessing, algorithm selection, hyperparameter tuning, and model evaluation. It also integrates explainability tools that help users understand which variables influence each prediction and facilitate the validation of results before they are applied to industrial processes.
Its main innovations include the combination of no-code machine learning, integration with real-time industrial data sources, advanced visualization of predictions through dashboards and 3D digital twins, and intelligent assistance powered by generative artificial intelligence.
These capabilities make it easier to apply models to anticipate failures, detect anomalies, improve quality, optimize resource consumption, and support operational decision-making. The module is validated in pilot companies and evolves from a functional prototype into a pre-commercial solution ready to be brought to market under a SaaS model.
