Self-learning control for energy-intensive industry
Gigaton uses AI to autonomously control and decarbonize energy-intensive industrial plants. Starting with cement and expanding into steel, glass, and chemicals, it replaces legacy control systems to cut both emissions and energy costs.
The system is adaptive, continuously retraining as plant conditions change. It is predictive, acting ahead of problems rather than reacting after the fact. It is flexible, allowing managers to reset priorities depending on whether the plant is optimising for cost, throughput, emissions or stability. And crucially, it is explainable, showing operators why actions are being recommended or taken.
Self-learning control for energy-intensive industry
Gigaton uses AI to autonomously control and decarbonize energy-intensive industrial plants. Starting with cement and expanding into steel, glass, and chemicals, it replaces legacy control systems to cut both emissions and energy costs.
The system is adaptive, continuously retraining as plant conditions change. It is predictive, acting ahead of problems rather than reacting after the fact. It is flexible, allowing managers to reset priorities depending on whether the plant is optimising for cost, throughput, emissions or stability. And crucially, it is explainable, showing operators why actions are being recommended or taken.
Company
Gigaton
Initial Investment
Location
United Kingdom
Industries
Applied AI & Automation
Industrial efficiency
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