AI startup Applied Computing lands $20M to teach oil refineries to use their own data

Applied Computing, a London startup developing AI systems tailored to energy infrastructure, has secured $20 million in Series A funding anchored by engineering firm KBR, with backing from Databricks Ventures.

The company, founded in 2023, is tackling a fundamental inefficiency in how oil, gas, and petrochemical facilities operate. Although modern plants bristle with thousands of sensors—tracking temperature, pressure, fluid velocity, viscosity, and dozens of other parameters—operators routinely make critical decisions using less than 8% of available data. The bottleneck isn't the sensors themselves; most energy companies already collect this information. Rather, they struggle to integrate real-time sensor readings with engineering schematics, physics models, and chemical constraints quickly enough to extract actionable insights.

How Orbital differs from generic AI#

Applied Computing's foundation model, called Orbital, takes a fundamentally different approach than general-purpose language models. Rather than predicting the next word in a sequence, Orbital blends three specialized components: a time series analyzer for sensor streams, a physics and chemistry engine, and a language model. Together, these let the system forecast a facility's operational state, flag equipment anomalies, trace root causes, and simulate downstream effects of proposed changes—all within minutes rather than days or weeks.

The model operates with awareness of real physical and chemical laws, equipment constraints, and human operator behavior, allowing technicians to safely model counterfactuals before they act on the plant floor.

Early traction and strategic partnerships#

Applied Computing has moved from stealth to "double-digit millions" in annual recurring revenue in under 18 months. The startup counts large, publicly traded upstream, downstream, and petrochemicals operators among its users, though specific customer names remain undisclosed. Key partners already include Indian energy conglomerate Wipro and KBR, which has embedded Orbital into its INSITE 3.0 digital platform and deployed it in ammonia production. Additional partnerships with major U.S. upstream operators and a European oil major are in the works.

Competitive landscape and moats#

Applied Computing enters a crowded field. Entrenched industrial software suppliers like AspenTech and already serve simulation and optimization in energy; newer data-focused platforms like and target industrial analytics.