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Simulate reality to optimise production. When real-world data is scarce or costly to harvest, we build physics-informed world models and synthetic data generators. By deploying virtual sensing capabilities, we allow you to infer complex metrics from standard measurements, enabling precise forecasting and process optimisation without invasive sampling. This approach reduces physical trial-and-error, driving efficiency in sectors ranging from bioprocessing to renewable energy.
Simulate reality to optimise production. When real-world data is scarce or costly to harvest, we build physics-informed world models and synthetic data generators. By deploying virtual sensing capabilities, we allow you to infer complex metrics from standard measurements, enabling precise forecasting and process optimisation without invasive sampling. This approach reduces physical trial-and-error, driving efficiency in sectors ranging from bioprocessing to renewable energy.