10 Gigawatts of Renewables = 3.2 Billion Events a Day in the Databricks Lakehouse

Industrial AI's real bottleneck isn't the model — it's the data foundation. Operational data has the classic 3 V's at extreme scale: Variety (hundreds of OEM protocols and naming conventions), Velocity (1-second sensor streams), and Volume — 3.2 billion events a day from a 10 GW renewable fleet.Nexalis is the cloud-native industrial data infrastructure layer for the AI era. A zero-copy architecture makes OT data available in your Databricks environment — cleansed, shaped, and AI-ready in under 4 seconds — unlocking the full analytics ladder: descriptive, diagnostic, predictive, and prescriptive.Three production deployments: EDF Power Solutions on Maverick6 (solar + battery); Clenera (1.6 GW today → 5+ GW); Calpine with Accure (predictive battery degradation deep inside the BESS).Same architecture, same pattern — heading next into conventional generation and nuclear. Anyone can dump events into a bucket. Cleansed, shaped, and AI-ready in less than 4 seconds is data engineering.