Applied Computing Lands $20M Series A to Power Energy’s AI Revolution

A new force is emerging in industrial technology. London-based Applied Computing has successfully closed a substantial $20 million Series A funding round, signaling strong investor confidence in its groundbreaking approach to artificial intelligence. This significant investment, spearheaded by global engineering and construction powerhouse KBR and supported by Databricks Ventures, is poised to accelerate the development and deployment of the startup’s unique foundation AI model, meticulously engineered for the demanding and data-rich environments of the oil, gas, and petrochemical industries.

Bridging the Industrial Data Gap: A Critical Challenge

Founded in 2023, Applied Computing identified a pervasive and costly problem within the energy sector. Modern oil, gas, refining, and petrochemical facilities are equipped with thousands of sensors, continuously generating vast quantities of data. These sensors meticulously track everything from temperature and pressure to fluid velocity and viscosity, creating a digital heartbeat for every operation. Yet, despite this deluge of information, the industry struggles with severe data fragmentation.

As Callum Adamson (pictured above, right), co-founder and CEO of Applied Computing, points out, operators often make critical decisions using less than 8% of the available data. The root cause isn’t a lack of data collection, but rather an inability to rapidly and effectively synthesize diverse data streams. “Operators already collect much of this information,” Adamson explained, “but they struggle to combine the sensor readings, engineering documentation, and physics and chemistry quickly enough to analyze and make predictions.” This fragmentation leads to operational inefficiencies, delayed problem-solving, and a significant hindrance to optimizing energy use and output. He emphasized to TechCrunch, “It’s getting those three data sources to talk to each other in real time. That’s the real key.”

Orbital: A New Class of Foundation AI for Industrial Scale

Applied Computing’s pioneering solution, named Orbital, is a testament to sophisticated AI engineering, setting itself apart from generalized large language models that primarily focus on text prediction. Orbital is a highly specialized foundation model that integrates three powerful AI paradigms: a time series model for discerning patterns and anomalies in sequential data, a physics-based model that ensures all predictions adhere to fundamental scientific laws of the physical world, and a language model capable of interpreting and contextualizing unstructured data like engineering schematics and operational manuals.

This synergistic combination empowers Orbital to predict the dynamic state of an entire facility with remarkable accuracy. It achieves this by continuously analyzing real-time sensor data, grounding its understanding in the inherent physics and chemistry of the processes, and accounting for specific equipment constraints and operator actions. Beyond mere prediction, Orbital also offers technicians the capability to run advanced simulations. This allows them to model the downstream effects of any proposed operational change, understanding how an alteration in one part of a complex system could ripple throughout the entire facility before it’s implemented, thereby mitigating risks and optimizing outcomes.

Transforming Operations: The Promise of Speed and Precision

The core value proposition of Applied Computing lies in its ability to deliver unprecedented speed and precision to industrial operations. The company claims Orbital can dramatically accelerate critical tasks: flagging anomalies, investigating their root causes, and modeling potential solutions within minutes. This represents a monumental shift from traditional processes that often took days or even weeks to complete. “The product can compress investigations that previously took days or weeks into seconds,” Adamson asserts, highlighting a profound impact on operational agility.

The practical benefits are far-reaching. By enabling operators to gain rapid insights and make data-driven decisions almost instantaneously, Orbital directly contributes to reduced energy consumption, optimized resource allocation, and sustained output levels. This efficiency translates not only into significant cost savings but also enhances safety protocols and supports the industry’s broader goals for environmental sustainability.

Rapid Ascent: Market Validation and Strategic Partnerships

The market has responded with enthusiasm to Orbital’s capabilities. Applied Computing has demonstrated exceptional commercial velocity, transitioning from a stealth-mode startup to achieving double-digit millions in annual recurring revenue (ARR) in less than 18 months. While specifics on customer numbers remain undisclosed, Adamson confirms that Orbital is actively deployed at several “large, publicly listed” companies across upstream oil and gas, downstream refining, and petrochemical operations, underscoring its proven utility in real-world industrial settings.

Strategic partnerships have been a cornerstone of this rapid growth. Collaborations include Indian energy giant Wipro, and notably, lead investor KBR. KBR has seamlessly integrated Orbital into its INSITE 3.0 digital platform for various energy projects, leveraging the AI for critical applications such as ammonia production optimization. Adamson also revealed ongoing work with a “major U.S. upstream operator” and hinted at an upcoming announcement regarding a partnership with a prominent European oil major, signaling a rapidly expanding global footprint and deepening industry trust.

The AI Moat: Differentiating in a Competitive Landscape

Applied Computing operates within a competitive arena, facing established industrial software suppliers and emerging AI specialists. Companies like AspenTech offer sophisticated simulation and AI-powered modeling for diverse energy operations, while AVEVA provides physics-based process simulation and “what-if” modeling tools. Furthermore, startups such as Cognite and Seeq focus on the data layer, helping facilities analyze industrial data and apply AI for workflow design.

However, Adamson firmly believes that Applied Computing’s enduring competitive advantage, its “moat,” isn’t merely access to data or domain expertise, but its unique capacity to attract and retain elite AI researchers capable of building a model as complex and effective as Orbital. “It’s an AI problem. It’s not a data problem, and it’s not an energy problem,” he contended. He challenged the conventional view by asking, “If you’re a tier-one AI researcher, where are you going to work? … I don’t think Shell’s on that list,” highlighting the startup’s magnetic pull for top talent over traditional industrial giants.

Furthermore, the quality and exclusivity of the data feeding Orbital are critical differentiators. Unlike publicly available or simulated datasets, operational data from refineries and other energy facilities is proprietary and typically guarded. This access to authentic, high-fidelity operational data through deployments provides Orbital with an unparalleled learning environment, refining its predictive capabilities in ways simulated data cannot replicate. The strategic partnership with KBR further reinforces this advantage, granting Applied Computing direct access to invaluable operational data and deep industry expertise, alongside facilitating introductions to a broader network of potential customers.

Fueling Future Growth: Global Expansion and Innovation

The freshly secured $20 million in Series A funding will be meticulously allocated to fuel Applied Computing’s ambitious growth trajectory. Key priorities include significant international expansion to broaden Orbital’s reach across global energy markets. A substantial portion of the investment is also earmarked for hiring top-tier research and engineering talent, solidifying the company’s core strength in AI innovation and model development. Additionally, the capital will support the exploration of new deployments and deepen engagement with an expanding roster of energy clients, further cementing Orbital’s market presence.

In a clear demonstration of its global vision, Applied Computing recently inaugurated a new office in Houston, Texas. This strategic location places the startup in close proximity to two of its existing North American customers and serves as a vital hub for further expansion in the region. The Houston office complements its established headquarters in London and its operational hub in Bengaluru, India. Looking ahead, the company has concrete plans for an ambitious expansion into the Middle East, signaling a truly global strategy for transforming industrial operations.