Applied Computing
Applied Computing delivers increased profitability and reduced carbon intensity for the energy industry.
AI-powered predictive analytics
Our Orbital foundation model delivers 99% accurate, hallucination-free inference by combining domain-specific language models with proprietary physics, time series, and retrieval models. It sets new industry benchmarks, achieving a 53.7% improvement in CO₂ prediction accuracy and a 427% faster asset failure prediction. Integrated with digital twin environments, Orbital turns raw operational data into real-time insights that prevent failures and optimize performance.
Whole-system process optimisation
Orbital leverages 100% of real-time data (versus the 8% industry average) to deliver models in minutes instead of months. Its physics-based approach ensures predictions follow mass balance, energy conservation, and reaction kinetics, enabling up to 25% efficiency gains when integrated with Kongsberg Digital’s digital twin platforms.
Intelligent anomaly detection
Traditional systems generate 30% false alarms, while Orbital keeps them below 1% with full operational coverage. Connected directly to DCS, historians, and LIMS, it learns from raw data to forecast trends and detect anomalies, delivering early warnings operators can trust.
Natural language operations intelligence
Orbital’s language model, trained on decades of chemical and process expertise, interprets P&IDs, SOPs, and work orders to explain reasoning and recommend actions in clear process language. This bridges digital twin data with decision-making, allowing engineers to query systems in natural language and get physics-grounded responses that speed troubleshooting and optimisation.
Applied Computing features
Real-time foundation model integration
Orbital plugs directly into existing infrastructure without requiring massive digital overhauls. Orbital consists of a symphony of time series, physics-based, and language models - work in unison, continuously retrieving and interpreting operational data in real-time. This seamless integration with digital twin platforms enables immediate deployment and value realisation.
Physics-constrained AI
Unlike generic AI solutions, Orbital ensures physical validity in every prediction through built-in physics constraints and domain expertise. Orbital respects the fundamental laws of mass balance, energy conservation, and reaction kinetics, delivering reliable insights that operators can trust in mission-critical environments.
Anti-Hallucination Architecture
Orbital's proprietary anti-hallucination technology ensures 99% accurate inference, eliminating the reliability concerns that prevent AI adoption in industrial settings. This breakthrough enables confident deployment in high-stakes operational environments where accuracy is paramount.
Delivered by
Applied Computing Technologies is a pioneering AI startup founded in 2023, focused on boosting profitability and cutting carbon emissions for the global energy industry. With a team of 26 AI scientists and energy experts spanning the Americas, EMEA, and APAC, the company has developed Orbital—the first foundation model purpose-built for energy operations.Serving clients in refining, petrochemicals, upstream, renewables, and LNG, Orbital has delivered double-digit performance gains, translating into tens of millions in operational value. Headquartered in London and operating remotely worldwide, Applied Computing combines deep industry expertise with cutting-edge AI to deliver technology that performs where it matters most—on the frontlines of energy.
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