Gigaton, a London-based AI company developing control software for energy-intensive industries, has raised $26 million in Series A funding. The round was led by Plural, with participation from 2150, Semapa Next, and existing investors Planet A Ventures, Cambridge Enterprise Ventures, UCL Technology Fund managed by AlbionVC with UCL Business, and Clean Growth Fund. The financing brings the company’s total funding to more than $35 million.
Energy-intensive industries are facing growing operational pressures driven by rising energy costs, evolving fuel sources and market volatility. At the same time, many industrial facilities continue to rely on legacy control systems that require significant manual intervention and were not designed to manage the complexity of modern operations.
According to Josh Vernon, CEO of Gigaton, many industrial operators are facing increasing pressure to adapt existing facilities to more complex operating conditions:
The underlying software infrastructure most plants run on today was never built to manage the complexity plants are forced to deal with today. We have built Gigaton to deliver real cost and carbon savings now while building the AI infrastructure these industries need in a fully autonomous future.
Gigaton develops AI-driven control software that continuously optimises plant operations. The technology was developed over five years of work alongside plant operators and control-room teams, with a focus on addressing the limitations of existing industrial control systems.
Its platform operates within existing plant infrastructure, using simulations and predictive models to evaluate operational decisions before they are implemented. The system can autonomously adjust parameters such as fuel mix, kiln speed and oxygen levels, while providing operators with visibility into the reasoning behind each action.
Unlike conventional optimisation tools that sit on top of existing systems, Gigaton’s platform is intended to replace the underlying control stack. The company says this approach can help reduce energy and fuel consumption, lower emissions, and improve process stability. The platform continuously adapts to changing operating conditions by retraining on live plant data.
The new funding will support the continued development and deployment of Gigaton’s AI platform, which is intended to replace traditional industrial control software used across sectors such as cement, steel, glass and chemicals.
The company is currently developing the next generation of the platform with a select group of partners and plans to use the capital to support broader deployment across industrial facilities as it enters its next phase of growth.
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