Plural leads Gigaton's $26M Series A funding round
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. Founded by CEO Josh Vernon, Gigaton develops AI-driven control software that continuously optimises plant operations. The technology has been developed over five years in collaboration with plant operators and control-room teams, with a focus on overcoming the limitations of traditional industrial control systems.
The company's platform operates within existing plant infrastructure, using simulations and predictive models to evaluate operational decisions before implementation. It 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 atop existing systems, Gigaton is designed to replace the underlying control software stack. The company says this approach can help reduce energy and fuel consumption, lower emissions, and improve process stability, while continuously adapting to changing operating conditions through retraining on live plant data.
"The underlying software infrastructure most plants run on today was never built to manage the complexity plants are forced to deal with today," said Josh Vernon, CEO of Gigaton. "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."
Carina Namih, Partner at Plural, added: "What makes this hard to copy is deep reinforcement learning rooted in UCL and Cambridge research, combined with genuine operational knowledge of these industries. These physicists, machine learning engineers, and process experts could be at a frontier AI lab. Instead, they're applying their skills to a problem that is urgent, unglamorous, and genuinely hard."
The new funding will support the continued development and deployment of Gigaton's AI platform, which is designed to replace traditional industrial control software 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 as it enters its next phase of growth.
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