FixForecast

FixForecast is a web app (with optional tablet mobile view) for plants that already have sensor/SCADA data but struggle to turn it into maintenance decisions. It ingests time-series signals (vibration, temperature, current, pressure) and maintenance logs, then builds lightweight “asset twins” focused on failure modes rather than full physics models. The app outputs remaining useful life ranges, anomaly explanations, and a ranked weekly worklist tied to parts availability and production schedules. It also generates audit-ready reports that quantify avoided downtime and model confidence—so maintenance leaders can defend planned shutdowns to operations. This is a combination traditional + AI app: traditional integrations, workflows, and governance, plus AI for anomaly detection, forecasting, and natural-language summaries. It’s intentionally narrow: start with rotating equipment (pumps, motors, compressors) where data is common and ROI is provable.