CASe study

Orbital Achieves 53.7% Improvement in CO₂ Concentration Prediction Accuracy 

20 Apr 2025

Goals

Improve upon CO₂ concentration prediction against Imperial's State-Of-The-Art Model 

Benchmark Orbital’s performance against current state-of-the-art simulation-based optimisation and anomaly detection methods (e.g., TimesNet, DAE-LSTM).

Results

0

%

improvement in CO₂ concentration prediction

0

%

Accuracy in early failure detection

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© Applied Computing Technologies 2025

Applied Computing Technologies is a remote first company headquartered in London, UK

© Applied Computing Technologies 2025

Applied Computing Technologies is a remote first company headquartered in London, UK

© Applied Computing Technologies 2025

Applied Computing Technologies is a remote first company headquartered in London, UK