AI for Oil & Gas: Applied Computing Raises $20M

I’d like to share a development at the intersection of AI and industry. Applied Computing has raised $20 million in a Series A round with support from KBR and Databricks Ventures.

The company is building Orbital, a foundation model for oil and gas, refining, and petrochemicals.

What matters:
— it combines sensor data, engineering documentation, and physico-chemical constraints;
— helps detect anomalies and test operational change scenarios;
— aims to cut analysis from days and weeks to minutes.

To me, this highlights an important trend: in industrial AI, the value lies not in flashy demos, but in the speed and quality of decisions on the shop floor.

Do you think such models will truly change the way industrial assets are managed?

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