Wavelabs Insight unifies disparate operational data from industrial equipments into analytics-driven predictive maintenance models. This framework includes collecting, organizing and analysing asset data, usage and environment reports to correlate with any known issues to improve maintenance planning.
Wavelabs Insight unifies disparate operational data from industrial equipments into analytics-driven predictive maintenance models. This framework includes collecting, organizing and analysing asset data, usage and environment reports to correlate with any known issues to improve maintenance planning.
Leverage AI to foresee problems before they occur. Wavelabs Insight framework can analyze and process fast-moving streams of data, and deliver real-time insights for mission-critical scenarios, thereby, significantly reducing the complexity and costs associated with building and training Machine Learning (ML) models for anomaly detection. Read More
Transform maintenance & service operations. Built with technology-driven innovation at its heart, Wavelabs Insight framework enables intelligent manufacturing, automation servicing, and cost-effective production support. We help you schedule your production efficiently by monitoring your equipment for signs that service is or will become necessary, thereby driving down maintenance costs. Read More
Achieve higher operational effectiveness. Built on the strengths of artificial intelligence and predictive analytics, Wavelabs Insight can create statistically valid models of equipment life based on operational data and other factors. These models enable you to focus on critical risks that affect operational reliability and availability. Read More
At Wavelabs, we have designed and built a dedicated framework that deploys AI models using open source data science tools for model training and prediction to ensure 100% machine uptime by scheduling repairs and replacements exactly when it is needed.
