Applied Computing has secured $20 million in a Series A funding round to develop an AI foundation model, Orbital, for the oil and gas sector. The model aims to optimize operations by analyzing sensor data in real time, potentially enabling facilities to make better decisions with the data they currently underutilize.
Applied Computing, a startup founded in 2023, is focused on the oil, gas, and petrochemical industries. The company has recently raised $20 million in Series A funding led by KBR, with participation from Databricks Ventures. The innovation is centered around addressing the vast amount of data collected by plants that often goes unutilized.
Orbital is a foundation AI model developed by Applied Computing, designed to integrate time series data, physics-based data, and language understanding. This triad of data sources aims to create a comprehensive predictive tool for facility operations. It enables operators to analyze sensor readings in conjunction with engineering documentation and physics, enhancing decision-making capabilities.
The core value proposition of Orbital is its ability to perform rapid anomaly detection, investigation of causes, and impact modeling of proposed changes within minutes. Callum Adamson, co-founder and CEO, emphasized that this speed could drastically improve operational efficiency, allowing companies to compress lengthy investigation processes into mere seconds.
Since its inception, Applied Computing has experienced rapid growth, reportedly reaching double-digit millions in annual recurring revenue within 18 months. The company has established partnerships with recognized entities, including Wipro and KBR, which is utilizing Orbital in its INSITE 3.0 digital platform. Though the exact number of customers remains undisclosed, Orbital is being used by several large companies in the upstream and downstream oil and gas sectors.
✨ This summary was generated by AI from the outlets' reporting listed below. It is not independently verified and may contain errors — check the original sources. How BrevFeed works →
Applied Computing has secured $20 million in a Series A funding round to develop an AI foundation model, Orbital, for the oil and gas sector. The model aims to optimize operations by analyzing sensor data in real time, potentially enabling facilities to make better decisions with the data they currently underutilize.