Applied Computing wants to give oil and gas operators an AI model for…

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. If you're selling point solutions into oil and gas—optimisation software, sensor networks, analytics—a foundation model that ingests plant-wide sensor data just became your predator. Applied Computing and KBR now own the integration layer; your niche product is now a feature in their platform.