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Captia Technology

Energy

Ingestion of energy and operational data from solar, industrial installations and metering systems for consumption monitoring and analysis: meters, inverters and processes in time-aligned series.

Ingestion of energy and operational data

Most companies already have devices measuring their energy: the main meter, solar inverters, measurement equipment. What is missing is the common picture, since each device reports to its own portal. Captia Connect solves the layer prior to any analysis: ingesting energy and operational data from solar and industrial installations and metering systems, unified for consumption monitoring and analysis. The pieces are sensor connectivity for meters and probes, MQTT integration for distributed devices and edge ingestion for remote sites with irregular connectivity.

The scope boundary is deliberate: energy projects themselves belong to Captia Energy, and analytics, prediction and alerts on the connected data to Captia AI for energy. Connect delivers one complete, aligned dataset to both, with energy and operational series on the same plane. Projects start by connecting what is already metered, then extend measurement where the first data shows detail is missing.

Frequently asked questions

Which energy data sources can be connected?
The usual ones are solar installation inverters, meters and measurement equipment, network analysers and the signals of the processes consuming the energy. Each source speaks its own protocol and reports to its own platform; the connectivity work is to read them all and unify them in one data layer with a coherent timestamp.
Is this page about installing panels or improving my efficiency?
No. Energy projects themselves (self-consumption, efficiency, permits and certificates) are the specialty of Captia Energy. This page describes the connectivity layer: the ingestion of energy and operational data that makes signals available for monitoring and analysis. They are distinct, complementary layers.
Why unify energy data with operational data?
Because consumption is only understood next to the activity causing it. If meter data lives in one portal and production data in another, nobody can relate a consumption peak to what the facility was doing at that moment. The connectivity layer puts both series on the same plane so whoever analyses them can cross them.
What happens with the data once connected?
That is no longer connectivity, and the boundary is deliberate. Analytics, prediction and alerts on energy data are built by Captia’s AI unit; physical actions on the installation, from self-consumption to efficiency, are executed by Captia Energy. Connect hands both of them one complete, ordered, timely dataset.