Applied Computing Technologies Ltd

Applied Computing Technologies Ltd, based in the UK, specializes in delivering advanced operational solutions for the oil, gas, and petrochemicals sectors with its innovative platform, Orbital Industries. Founded in 2023, Applied Computing Technologies Ltd operates from London, UK, providing cutting-edge operational solutions tailored for the oil and gas industry. The company has successfully completed its first funding round, raising EUR 10. 7 million in Seed funding on May 28, 2025, with investments from Stride and Repeat.

vc, marking a significant milestone in its growth trajectory. Through its core product, Orbital Industries, Applied Computing Technologies provides advanced operational solutions for the oil, gas, and petrochemicals sectors. Using superintelligence and real-time data, the platform improves operational optimization, raises prediction accuracy, and keeps false alarms below 1%. It also tackles the industry’s data-utilization gap, where only 8% of available data is typically used, by delivering operational models in minutes rather than the standard 5–6 months.

The company’s primary customers are major players in North America, Europe, and the Asia-Pacific region, with applications in refining, LNG, and upstream operations. Applied Computing Technologies relies on a B2B revenue model, driven mainly by subscription services and partnerships with industry stakeholders. Clients access the company’s suite of services by subscribing, including the Orbital platform, which is built to improve operational efficiency and reliability. Revenue comes from tiered subscription plans that offer different capabilities based on client needs, such as predictive analytics and real-time operational modeling, supporting a streamlined service delivery process for corporate clients.

The company will plan to use the July 2026 funding to accelerate international expansion, expand AI research and engineering teams, and scale commercial deployment of Orbital with global energy operators.