How a top electronics manufacturer accelerated time to value by 3x

The Problem

Every device generated data across 25+ components, but there was no unified way to analyze it or act on it before problems reached customers. Support was reactive, warranty claims were piling up, and the team knew they could do better.

What Changed

DataOS built an end-to-end predictive maintenance system. Device data is ingested, cleaned, and organized into a single view that trains a predictive model. When a potential issue is detected, the right action, whether that is a software update, a technician visit, or a guided fix, is triggered automatically.