Case Study: ClevAir automates data cleaning and labeling with Addepto

Data classification in energy technologies

Addepto worked with ClevAir, an energy technology company that needed a way to clean and label collected data more efficiently. ClevAir’s labeling process was being handled manually, which slowed down data preparation and made it harder to scale.

Addepto implemented semantic data type detection in the datasets to automate and speed up data cleaning and labeling. The solution reduced reliance on manual work and improved the workflow for preparing data, though the case study did not provide specific quantitative results or metrics.

ClevAir