Applied Computing Secures $20 Million Funding to Revolutionize the Energy Sector
Applied Computing, an innovative startup based in London, has successfully raised $20 million in a Series A funding round led by engineering behemoth KBR. The investment includes participation from Databricks Ventures, marking a significant boost for the company, which is focused on developing a foundational AI model for the oil, gas, and petrochemical industries.
Transforming Data Utilization in Energy Operations
Founded in 2023, Applied Computing aims to address a critical challenge in the energy sector—data fragmentation. In facilities where thousands of sensors monitor variables like temperature, pressure, velocity, and viscosity, decision-makers often rely on less than 8% of the available data, according to co-founder and CEO Callum Adamson. “Despite collecting this information, operators struggle to effectively combine sensor readings with engineering documents and the principles of physics and chemistry,” Adamson explained to TechCrunch.
Meet Orbital: A New Kind of AI Model
Applied Computing’s flagship product, Orbital, is not just another large language model that predicts words; it integrates time series, physics-based modeling, and language processing to assess facility conditions. By synchronizing sensor data with physics and chemistry principles, Orbital considers equipment constraints and operator activities. A unique feature allows technicians to simulate how changes in one part of a facility could impact overall operations.
Speed: The Competitive Advantage
The startup positions itself as a speed-focused solution, with Orbital capable of identifying anomalies and determining their causes, streamlining investigations that typically take days or weeks into mere minutes. Adamson asserts that this efficiency can significantly reduce energy consumption while maintaining operational output.
Strong Early Momentum and Strategic Partnerships
This promise of rapid solutions has attracted attention. Applied Computing reports that it has achieved double-digit millions in annual recurring revenue within just 18 months of its launch. Its technology is already being deployed by several major players in the oil and gas, refining, and petrochemical sectors, although Adamson has not disclosed specific customer names.
The startup’s strategic partnerships include collaboration with Indian energy firm Wipro and KBR, which has embedded Orbital into its INSITE 3.0 digital platform. This partnership is already being utilized for ammonia production, bolstering Applied Computing’s credentials in the field. Furthermore, Adamson hinted at upcoming announcements about partnerships with a significant U.S. upstream operator and a European oil major.
Facing Established Competitors
Despite early success, Applied Computing enters a competitive market dominated by established industrial software suppliers and specialized AI startups. Competitors include AspenTech, known for simulation and AI-based modeling in upstream and refining processes, and AVEVA, which offers process optimization solutions. Companies like Cognite and Seeq focus on enhancing data layers for industrial analytics.
A Unique Edge in the AI Landscape
Adamson believes that Applied Computing’s distinguishing factor lies in its ability to assemble top AI researchers focused on building a competitive model. He elaborated, “This is an AI problem, not merely a data issue. If you’re a leading AI researcher, your career options likely don’t include places like Shell.”
Looking Ahead: International Expansion and New Offices
With the new funding, Applied Computing plans to expand its global footprint—hiring more talent in research and engineering while exploring further deployments in the energy sector. Recently, the startup established a new office in Houston, supplementing its London headquarters and Bengaluru operations. This U.S. base will bring Applied Computing closer to existing North American clients, with plans for expansion into the Middle East on the horizon.
Final Thoughts
As Applied Computing continues to carve a niche in a complex industry, its innovative approach to data utilization and operational efficiency could pave the way for substantial improvements in energy management. With strategic partnerships in place and significant funding secured, the startup is poised for growth in a market that increasingly demands advanced technological solutions.
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