London-based startup Applied Computing has announced a successful $20 million Series A funding round led by engineering giant KBR, with participation from Databricks Ventures. The new capital will be used to expand international operations, hire research and engineering roles, and open a new office in Houston to be closer to North American clients.
Detailed Developments
Founded in 2023, Applied Computing focuses on solving the data fragmentation challenge in the oil, gas, and petrochemical industries. According to co-founder and CEO Callum Adamson, facilities currently make operating decisions using less than 8% of their available data. Although sensors collect massive amounts of information regarding temperature, pressure, and viscosity, operators struggle to integrate these readings with engineering documents and physical-chemical laws quickly enough to make timely predictions. After less than 18 months in stealth, the startup claims to have reached double-digit millions in annual recurring revenue by resolving this bottleneck.
Technical & Technology Analysis
Unlike conventional Large Language Models (LLMs) that merely predict the next word, Applied Computing's foundational model, Orbital, combines a time-series model, a physics-based model, and a language model to predict the state of an entire plant. The system automatically analyzes sensor readings in real-time while accounting for equipment constraints and operator activities. This technology allows technicians to run simulations to see how a change in one section impacts the rest of the facility. The company claims Orbital can detect anomalies and investigate root causes within seconds instead of days or weeks.
Expert Opinion & Insights
The industrial software market is already crowded with established players like AspenTech, AVEVA, and data-centric startups like Cognite and Seeq. However, CEO Callum Adamson confidently asserts that Applied Computing's moat does not lie in data access or process knowledge, but in attracting top-tier AI researchers to build a complex model like Orbital. He argues this is purely an AI challenge rather than an energy challenge, and top AI talent would prefer working for specialized tech startups over traditional oil majors.
Impact & Future
The strategic partnership with KBR provides Applied Computing with a major advantage in accessing real-world operational data and industry expertise, while opening doors to potential clients. Currently, Orbital is integrated into KBR's INSITE 3.0 digital platform for ammonia production. Deeply integrating AI into traditional heavy industries like oil and gas promises to optimize performance, reduce energy consumption, and prevent critical incidents, paving a practical path for generative AI in complex engineering fields.