Industrial analytics has long been defined by dashboards. But what if that’s the very thing holding it back?

Dashboards were built for reporting, not exploration. They summarize. They visualize. But they don’t invite interaction. In fact, most dashboards answer predefined questions—and only those.

Industrial AI has become the poster child of every innovation roadmap. From predictive maintenance to energy optimization, the potential is massive. And yet, in boardrooms and on factory floors, a familiar complaint echoes: "We're still in pilot mode."

Anomaly detection is only useful if it happens fast. But for many industrial teams, identifying an anomaly is still a manual, multi-day process.

If Industry 4.0 promised anything, it was speed. Real-time insights. Smarter operations. Leaner processes powered by data from machines, sensors, and entire fleets of assets.