Applied Computing, a London-based startup with backing from engineering giant KBR, is aiming to revolutionize operations in the oil and gas sector by building an advanced foundation AI model called Orbital. The company claims that this model can analyze and predict facility states using sensor readings, physics, and chemistry data in real-time, helping operators make faster decisions.

Co-founder and CEO Callum Adamson asserts that their technology can significantly reduce the time needed to investigate anomalies from days or weeks to mere seconds, potentially leading to more efficient energy use. Despite competition from established players like AspenTech and AVEVA, Applied Computing is bullish on its research team as a key differentiator.

The startup has already secured partnerships with major companies and plans to expand internationally. However, the market for AI in industrial operations remains crowded, with firms like Cognite and Seeq focusing on data analysis tools. For now, success hinges on their ability to integrate seamlessly into existing systems without disrupting established workflows.

With $20 million in Series A funding, Applied Computing aims to accelerate its growth by opening new offices in Houston and expanding into the Middle East. The coming months will be crucial as the company tries to prove that real-time AI can indeed transform the oil and gas industry’s complex operational data landscape.