Applied Computing wants to give oil and gas operators an AI model for the entire plant

Applied Computing, a London-based AI startup, raised $20M Series A led by KBR to build a foundation model for oil, gas, and petrochemical plants. The startup targets the fragmentation problem across thousands of sensors and data sources, where operators currently use less than 8% of available data for operational decisions.

This Wire brief tracks Applied Computing, and It sits within Fusion42's coverage of AI Frontier Models and Industrial Automation. Wire is Fusion42's founder-focused intelligence feed: each story is connected to the funds and startups it names — every one with a live profile on Raise or Scout — so founders can follow the capital and the momentum behind the headline rather than just the headline itself. Wire analysis is one of the live surfaces Arthur, Fusion42's AI co-founder, reasons over.