Applied Computing wants to give oil and gas operators an AI model for the entire plant

Funding Signals Shift to Specialized Industrial AI

Applied Computing, a London-based startup developing a foundation AI model for heavy industry, has secured a $20 million Series A round. The funding was led by engineering firm KBR, with participation from Databricks Ventures. This investment highlights a growing focus on AI applications that can interpret complex, real-time physical data, a significant departure from consumer-facing large language models. The company targets the oil, gas, and petrochemical sectors, where co-founder and CEO Callum Adamson notes that operators often use less than 8% of available sensor data for decision-making due to data fragmentation and the difficulty of real-time analysis.

A Hybrid Model for Complex Systems

The company's core product, Orbital, is not a traditional LLM. Instead, it functions as a hybrid foundation model that integrates three distinct data sources to predict the state of an industrial facility. This approach is designed to overcome the challenge of combining disparate information streams—from sensor readings to engineering documentation—quickly enough for practical use. Applied Computing claims the platform's key capabilities include:

• Combining a time series model, a physics-based model, and a language model.
• Analyzing real-time sensor data while respecting the laws of physics and chemistry.
• Allowing operators to run simulations to model the impact of operational changes.
• Compressing investigation timelines from days or weeks into minutes for anomaly detection and root cause analysis.

This model of rapid analysis appears to be gaining traction, as the company reports achieving double-digit millions in annual recurring revenue in less than 18 months since emerging from stealth.

Navigating a Crowded Market

Applied Computing enters a competitive field with established industrial software suppliers like AspenTech and AVEVA, as well as data-focused AI startups such as Cognite and Seeq. CEO Callum Adamson argues the company's primary advantage is its focus on specialized AI research talent, framing the challenge as an “AI problem” rather than an industry or data problem. The strategic partnership with lead investor KBR is also critical, providing access to operational data, industry expertise, and a direct channel to potential customers. With the new capital, the startup plans to expand internationally, opening a new office in Houston and planning an expansion into the Middle East.

Applied Computing’s funding highlights a market shift towards vertically-integrated foundation models that combine domain-specific physics with multimodal data, challenging established industrial software providers by framing the problem as one of AI talent rather than just data access.