WannaMDA

WannaMDA revolutionizes predictive maintenance by utilizing multimodal sensor fusion to detect equipment failures weeks in advance, mitigating unexpected breakdowns that can lead to significant production loss and safety risks. This innovative edge AI solution combines audio, vibration, electrical, and thermal data into a unified platform, providing maintenance teams with early alerts, clear explanations, and prioritized action items. By effectively reducing maintenance costs by 25-30% and eliminating 70-75% of breakdowns, WannaMDA enhances operational efficiency and equips organizations with a proactive approach to machine health management.

Details

WannaMDA listens to your industrial equipment the way an experienced maintenance engineer does — but 24 hours a day, across every machine on every site. We put four kinds of sensors on each asset (microphone, vibration, electrical clamp, thermal probe) and feed them into a single AI model that learns what that machine sounds, vibrates, draws and runs like when it's healthy. The moment something starts to drift — a bearing wearing thin, a motor pulling extra current, a fan running hot — WannaMDA flags it, explains what changed in plain language, and gives your team enough lead time to fix it on a planned shift instead of at 2 a.m.