Applied Computing wants to give oil and gas operators an AI model for the entire plant
Applied Computing, a London-based startup, raised $20 million in Series A funding to develop an AI model for the oil, gas, and petrochemical industries, enabling real-time predictions from sensor data and engineering documentation. The company's model, Orbital, can detect anomalies, investigate causes, and simulate fixes within minutes, and has been integrated into platforms by KBR and Wipro. With double-digit millions in annual recurring revenue, Applied Computing aims to expand internationally, hire for research and engineering roles, and explore deployments with energy clients, leveraging its partnership with KBR to access operational data and industry expertise.
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