Digital twins & IoT

Model a real-world system once — its structure, sensors and geography — then run simulations on the very same data.

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A digital twin in GreyCat: an asset network mapped over its real-world geography

The problem

Modelling a real-world system means joining its structure, sensor streams and geography — usually three databases that never quite line up.

How GreyCat solves it

One graph for all three

Assets, their time-series and their location live in one graph and one transaction.

Model once, simulate

Run what-if simulations on the same data you monitor — no copy, no export.

Always consistent

Structure and history update together, so the twin is never out of sync.

See it in production: KOPR, a national electricity-grid AI twin built on GreyCat.

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