Foundation Time Series Model
ORBITAL is able to deliver following gains because for the first time ever, refiners have a deep learning foundation model that learns a generalisable representation across 100% of refinery’s data
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Orbital uses its generalisable representations to "predict", a given metric and then "recommend" new process variables for achieving a desired outcome
No need to subselect data – the system ingests 100% of your data automatically.
Advanced prediction and recommendation systems guide you toward your desired outcomes.
Delivers superior performance compared to any existing solutions you’re using.
developed for operators
Dashboard
A web hosted dashboard that allows users to monitor models as well as performance on refinery assets on any work computer or any directly in the SCADA software in the control room. Get key insights on future forecasting, recommendations on operations and predictions on impact.
for engineers and model developers
Python Library
For APC engineers or data scientists who want to experiment with new models, you can repurpose our foundation models’ embeddings in just 7 lines of code to develop, test, and deploy task-specific deep learning models onto our hardware
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