Applied Computing Secures $20 Million in Funding to Revolutionize Oil and Gas Operations with AI

Introduction

Applied Computing, a promising startup based in London, has successfully raised $20 million in Series A funding to develop an advanced AI model targeting the oil and gas industry. The funding round was spearheaded by engineering giant KBR, with participation from Databricks Ventures. Founded in 2023, Applied Computing aspires to optimize data utilization across facilities that operate with a myriad of sensors, laying the groundwork for their flagship AI model, named Orbital.

Understanding Orbital's Capabilities

Addressing Data Fragmentation

Oil and gas facilities often deal with extensive amounts of data collected from thousands of sensors, measuring various parameters including temperature, pressure, and viscosity. However, many operators find themselves utilizing less than 8% of this available data, primarily due to challenges in integrating sensor readings, engineering documentation, and real-time analysis. According to Callum Adamson, the co-founder and CEO of Applied Computing, achieving seamless communication between these data sources is critical for effective analysis and prediction.

The Unique Approach of Orbital

Unlike conventional large language models that focus solely on text prediction, Orbital employs a hybrid model that combines time-series data, physics-based algorithms, and language processing to predict operational states. This innovative approach allows Orbital to analyze real-time sensor readings while considering the physical constraints of equipment and ongoing operational activities. Adamson emphasizes the model's ability to quickly identify anomalies, assess their causes, and predict how potential solutions might impact other operations across the facility.

Achievements and Market Position

Rapid Growth and Partnerships

Since transitioning out of stealth mode, Applied Computing has swiftly generated double-digit millions in annual recurring revenue within just 18 months. The startup’s offerings are already utilized by some notable players in the oil and gas sector, spanning upstream oil and gas operations, downstream refining, and petrochemical production. Although specific customer numbers remain undisclosed, Adamson highlights partnerships with significant companies such as Wipro and KBR, which has incorporated Orbital into its INSITE 3.0 digital platform for energy projects.

Competitive Landscape

Despite the promising technology, Applied Computing faces competition from entrenched industrial software providers and specialist AI startups. Established firms such as AspenTech and AVEVA have long dominated the simulation and modeling software markets. However, Adamson believes that the real advantage lies in their team of experienced AI researchers capable of building a competitive model like Orbital.

Future Plans and Expansion

With the newly acquired funding, Applied Computing intends to expand its international footprint, enhance its research and engineering teams, and form additional partnerships within the energy sector. The company has already established a presence in Houston, supplementing its headquarters in London and operations in Bengaluru, which will facilitate closer proximity to existing clients in North America. Plans for an expansion into the Middle East are also underway.

In summary, Applied Computing's innovative approach to integrating AI into the oil and gas industry positions it not just as a participant but as a potential game-changer. With the ability to streamline operations and make significant gains in efficiency and predictive analysis, the company is set to impact how the sector manages its vast reservoirs of data.