Orbital AI Platform for Oil and Gas Efficiency
The demo day will highlight Applied Computing’s platform, Orbital, which is already in use at some of the world’s most complex industrial sites - including one of the largest oil refineries on the planet.
Based on real-world implementation and lab analysis, Orbital is currently achieving for energy industry players:
• Orbital platform could potentially reduce total energy consumption by 10% across refineries and petrochemical sites resulting in billions saved.
• Orbital is outperforming software peers by 90% in many key metrics, and is benchmarked as state-of-the-art.
• Orbital utilises 100% of available data from downstream energy facilities – compared to 8% captured by traditional methods - this is key for financial and emissions savings from this artificial intelligence.
• Energy firms need to cut costs to keep down consumer energy costs and wholesale energy costs for industry - Orbital averages a 75% cost reduction for clients compared to cloud AI.
Funding and Demand for Industrial AI
The recent funding round - a £9 million seed round led by Stride.VC - will help Applied Computing grow its team to manage customer demand, which has accelerated following Orbital’s launch.
The funding round - and customer demand, which includes implementation at one of the largest oil refineries in the world - signals growing appetite for energy tech that goes beyond renewables to address the legacy infrastructure that still powers the world.
AI Demo Day to Showcase Real-World Impact
Sign up for demo day on 10th June.
As the energy sector’s ageing infrastructure faces narrowing margins and pressure to meet emissions benchmarks – both in the UK and globally – Orbital is coming to the market at a critical time to support these critical sectors.
The results of Applied Computing’s innovation in this space will be featured in a demo day on 10 June, where Orbital’s capabilities will be on full display for industry leaders, investors, journalists and policymakers alike. This will include a high-profile case study of Orbital’s implementation in a real-world environment, with more details available here.
The event will feature a panel, which will include - Kari Jordan, Founder at Leaps and Bounds and a former ESG executive at Shell, Ulrika Wising, MD Power at Centrica, Eliza Eddison, VP Operations at Applied Computing and Fred Destin, Founder and Partner at Stride.VC.
Superintelligent AI for Legacy Infrastructure
Orbital has the potential to deliver one of the great AI breakthroughs of this decade.
Orbital is Applied Computing’s flagship product, built using multi-foundation AI. It’s powered by a new class of models built to optimise the physical world – not just language models but also time series, physics and chemical engineering models delivering explainable AI that can be trusted in real-world applications.
Orbital utilises 100% of available data from downstream energy facilities – compared to 8% captured by traditional methods – and is outperforming previously benchmarked state-of-the-art software by 90% in key metrics.
Applied Computing is developing this advanced AI for the heavy industries essential to human life. Firstly for oil, gas and petrochemicals. Later expanding to any industrial production involving chemical processing.
Globally, each refinery supports infrastructure relied upon by up to 18 million people – from food and transport to medicine and manufacturing. We cannot just close these facilities to meet climate goals.
As policy and investment increasingly shift toward net zero, regulators and investors alike are waking up to a stark reality: despite historic progress in renewables, the energy transition will cost around $110 trillion over the next three decades, with investment stalling.
• Applied Computing offers a more grounded path forward: using superintelligent AI to make existing energy infrastructure radically more efficient, secure and climate-aligned.
• Orbital isn’t about replacing what exists - it’s about making it work smarter.
• Superintelligence that drives down costs, energy consumption, and carbon emissions.
Quotes for press statements will be provided after demo day. Interviews with Applied Computing’s co-founders will be available in advance, and on-site on the 10th June.
