The next constraint is not intelligence, it is the energy and operational cost of running it.
We deploy custom AI models inside critical infrastructure companies that ingest SCADA data, work orders, human interventions, operational data no public model has seen, grounded in physics-informed neural networks and differentiable simulators.
This creates a flywheel: more operator data → better process understanding → more efficient operations → cheaper energy → cheaper AI → more deployment → more data.

https://www.youtube.com/watch?v=0uDH6pMn5OE

AI compute doubles every 2.2 years. Data c

Artificial Intelligence · Solar Power · Infrastructure

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