The use case: how Engie deploys C3 AI
ENGIE's product owners use C3 AI Ex Machina's no-code interface to build a predictive model of residential energy consumption during COVID-19 quarantines. The model uses consumption, weather and customer profile data, and its results are passed to the User Experience team for customer alerting.
In the customer’s words
In just a few hours in C3 AI Ex Machina, our product owners built an accurate simulation, trained on all the data available, that let us project how COVID-19 was going to impact our residential customersOther AI tools used by Engie
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Explore Engie’s AI stack
C3 AI users in Energy, Utilities & Cleantech
Companies in the same sector, with public evidence.
Baker HughesConfirmed
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Bloom EnergyObserved
Duke EnergyObserved
ExxonObservedGo straight to the source
Based on C3 AI’s published case study. We check the public evidence; the results are reported by the vendor.
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- Nov 6, 2026
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Using C3 AI Ex Machina’s no-code interface and native cloud scalability, product owners were able to rapidly configure a predictive consumption model.