Fero is an explainable machine learning (ML) software for the manufacturing sector which enables personnel to automatically build ML models to predict quality issues, identify production bottlenecks, and improve key process parameters. Fero models are explainable: each part is easy to understand and comes with confidence estimates. The software continuously trains, evaluates, and deploys models in the cloud or on site, delivering insights to a wide breadth of industries (e.g. chemicals, automotive, steel, oil) across many scenarios (e.g. planning, decision making, process optimization).
Examples of problems Fero software can address:
These problems can be solved using the explainable nature of Fero Labs’ ML technology. They exhaustively analyze the entire process, qualify data, and constantly adapt to changing plant conditions, a feat not achievable using SixSigma, while offering root-cause analysis functionality and probabilistic predictions with confidence intervals, key features not available in standard ML algorithms.