VibeLedger

VibeLedger is a web + mobile AI-assisted predictive maintenance app focused on rotating equipment (motors, pumps, fans, gearboxes) in small-to-mid industrial plants that can’t afford heavy digital twin platforms. It ingests vibration and temperature data from common sources (CSV uploads, MQTT streams, or inexpensive wireless sensors) and builds a lightweight “behavior twin” per asset: baseline signatures, operating modes, and degradation trends. The app flags anomalies, estimates remaining useful life with confidence bands, and generates work-order-ready recommendations (what to inspect, likely failure modes, and urgency). It also keeps an audit trail of interventions so models improve over time and maintenance teams can prove ROI. This is not a magic black box: it’s designed to be transparent, showing which features triggered alerts and how thresholds were learned. Expect best results when you have consistent sensor placement and at least a few weeks of history.