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Applied Computing<\/a>, a London-based startup that\u2019s building a foundation AI model for the oil, gas and petrochemical industry, has raised a $20 million Series A led by engineering giant KBR, with Databricks Ventures participating.<\/p>\n Founded in 2023, the startup targets oil, gas, refining and petrochemical systems, where a single facility can have thousands of sensors measuring everything from temperature and pressure to velocity and viscosity. While there\u2019s a huge market<\/a> for helping energy companies solve the data tracking problem, the fragmentation that presents a significant hurdle. <\/p>\n Facilities consequently make operating decisions using less than 8% of the data available to them, says Applied Computing\u2019s co-founder and CEO Callum Adamson (pictured above, right). Operators already collect much of this information, he said, but they struggle to combine the sensor readings, engineering documentation, and physics and chemistry quickly enough to analyze and make predictions.<\/p>\n \u201cIt\u2019s getting those three data sources to talk to each other in real time. That\u2019s the real key,\u201d he told TechCrunch.<\/p>\n Unlike large language models, which predict the next word, Applied Computing says its foundation model, Orbital, combines a time series model, a physics-based model, and a language model to predict the state of a facility. It does this by analyzing sensor readings, keeping physics and chemistry in mind, and recognizing a facility\u2019s equipment constraints and operator activity.\u00a0It also allows technicians to run simulations of how a change in one part of a facility could affect the rest of its operations.<\/p>\n Essentially, Applied Computing is pitching speed: It claims Orbital can flag anomalies, investigate what caused them, and model whether a proposed fix could create problems elsewhere in the facility, all within minutes. Adamson claims the product can compress investigations that previously took days or weeks into seconds, helping operators reduce energy use and maintain output.<\/p>\n That promise of speed seems to have found believers. The startup says it has gone from stealth to double-digit millions in annual recurring revenue in under 18 months. Adamson said Orbital is in use at some \u201clarge, publicly listed\u201d upstream oil and gas, downstream refining and petrochemicals companies, although he declined to mention how many customers it has.<\/p>\n Its partners include Indian energy company Wipro, and KBR, which has integrated Orbital into its INSITE 3.0 digital platform for energy projects, and is using the product for ammonia production. Adamson said the startup is also working with a \u201cmajor U.S. upstream operator,\u201d and plans to announce a partnership with a European oil major in the coming weeks.<\/p>\n Still, Applied Computing is entering a market that has entrenched industrial software suppliers as well as more focused AI startups. AspenTech<\/a> sells simulation and AI-powered modeling software for upstream, refining and chemical operations, while AVEVA<\/a> offers physics-based process simulation, optimization, and \u201cwhat-if\u201d modeling for industrial plants. Cognite<\/a> and Seeq<\/a> target the data layer, helping facilities analyze industrial data, and apply AI to design workflows. <\/p>\n Adamson argues that the company\u2019s moat is not access to industrial data or process knowledge, but assembling AI researchers to build a model that can compete with Orbital.\u00a0<\/p>\n \u201cIt\u2019s an AI problem. It\u2019s not a data problem, and it\u2019s not an energy problem,\u201d he said.\u00a0\u201cIf you\u2019re a tier-one AI researcher, where are you going to work? \u2026 I don\u2019t think Shell\u2019s on that list.\u201d<\/p>\n Adamson also pointed to the data Orbital receives through its deployments. Operational data from refineries and other energy facilities is generally not available publicly, he said, while simulated data cannot fully reproduce what happens inside a working plant.<\/p>\n The KBR partnership may help the company, too. Adamson said the partnership gives Applied Computing access to operational data, industry expertise, and also introductions to more potential customers.<\/p>\n Applied Computing plans to use the $20 million to expand internationally, hire for research and engineering roles, and explore deployments with energy clients. <\/p>\n The company on Thursday said it\u2019s also opened an office in Houston, adding to its headquarters in London and operational hub in Bengaluru. Adamson said the U.S. base puts the startup closer to two existing customers in North America, and an expansion into the Middle East is also in the works.<\/p>\n<\/div>\n When you purchase through links in our articles, we may earn a small commission<\/a>. This doesn\u2019t affect our editorial independence.<\/em><\/p>\n