Applied Computing Secures €17.4M to Scale AI for Energy

The big picture: London-based Applied Computing, a company building foundation AI for energy operators, announced a €17.4 million ($20 million) funding round and its expansion into the United States with a new office in Houston, Texas.

Why it matters:

• Industry-specific AI: Applied Computing’s flagship platform, Orbital, is the first foundation model built specifically for energy operations, integrating physics-grounded intelligence with chemical engineering, time-series forecasting, and language models.
• Operational efficiency: The platform is designed to help operators improve efficiency, reduce emissions, strengthen reliability, and make better decisions across complex industrial systems.
• Enhanced data utilization: Orbital leverages 100% of available data from downstream energy facilities, significantly outperforming traditional methods in key performance metrics.

How it works:

• Multi-foundation approach: Orbital employs a new class of models that optimize the physical world, including physics and chemical engineering models, to deliver explainable AI for real-world applications.
• Strategic partnerships: Applied Computing has established major commercial partnerships with Databricks, Wipro, and KBR, integrating Orbital into KBR’s digital delivery platform, INSITE 3.0.
• Global expansion: The new funding will support continued international growth, accelerate commercial deployments with global energy operators, and deepen investment in its AI research organization, including a new Houston office.

The catch: The energy sector is characterized by complex, legacy infrastructure and inherent resistance to rapid technological shifts. Integrating advanced AI solutions like Orbital into these systems and building trust in autonomous decision-making presents significant challenges. Furthermore, competition from general-purpose AI providers adapting their models for industrial use, alongside established industrial software vendors, could intensify.