While artificial intelligence is transforming sectors such as finance, healthcare, and software development, some of the world’s largest industrial facilities still operate on control systems designed decades ago. Cement plants, steel mills, glass manufacturers, and chemical facilities are under increasing pressure to reduce costs, improve efficiency, and cut emissions, yet many continue to rely on legacy software that requires constant human intervention. London based startup Gigaton believes the next major frontier for AI lies inside these energy intensive industries, and it has now secured significant funding to accelerate that transition.
The company has raised $26 million in Series A financing to expand the deployment of its AI driven industrial control platform. The round was led by Plural, with participation from 2150, Semapa Next, and existing investors including Planet A Ventures, Cambridge Enterprise Ventures, AlbionVC, and Clean Growth Fund.
The latest financing brings Gigaton’s total funding to more than $35 million.
Tackling a Growing Industrial Challenge
Industrial operators today face a rapidly changing landscape.
Rising energy prices, fluctuating fuel availability, decarbonisation requirements, and increasingly complex operating conditions are forcing facilities to adapt faster than ever before.
Yet many plants still depend on control systems originally designed for far simpler environments.
According to Josh Vernon, the software infrastructure powering many industrial facilities was never built to manage the level of complexity modern operators now face.
This gap creates opportunities for intelligent systems capable of continuously analysing operations and making better decisions in real time.
Building AI for Industrial Operations
Gigaton develops AI powered control software designed specifically for energy intensive industries.
The technology is the result of five years of collaboration with plant operators and control room teams, allowing the company to build solutions tailored to real world industrial environments.
Rather than functioning as a simple optimisation layer, Gigaton’s platform is designed to replace traditional control software and become a central operational intelligence system.
Its goal is to improve efficiency, reduce emissions, and enhance plant performance without requiring major infrastructure changes.
How the Platform Works
The platform operates within existing industrial facilities and continuously evaluates operational decisions before they are implemented.
Using simulations, predictive models, and real time plant data, the system can analyse multiple operational scenarios and determine the most effective course of action.
It can autonomously adjust critical variables such as fuel mixtures, kiln speeds, oxygen levels, and other process parameters that influence efficiency and output quality.
Importantly, the platform also provides operators with visibility into why decisions are being made, helping maintain transparency and trust in automated systems.
Delivering Cost and Carbon Savings
One of the company’s key objectives is helping industrial facilities reduce both operational costs and environmental impact.
By continuously retraining on live operational data, Gigaton’s AI adapts to changing conditions and improves performance over time.
The company says this dynamic approach can lower fuel consumption, reduce energy use, improve process stability, and decrease carbon emissions across industrial operations.
For sectors facing increasing regulatory and sustainability pressures, these improvements could provide significant competitive advantages.
Expanding Across Heavy Industry
The new funding will support continued development of Gigaton’s platform and accelerate deployment across industries including cement, steel, glass, and chemicals.
The company is currently working with a select group of partners to develop the next generation of its technology while preparing for broader commercial expansion.
As industries around the world seek ways to modernise ageing infrastructure without sacrificing productivity, Gigaton is positioning itself as a key player in the industrial AI revolution. By replacing legacy control systems with adaptive, autonomous software, the company aims to help some of the world’s most energy intensive sectors become more efficient, resilient, and sustainable in the years ahead.
