Gigaton Raises $26M to Scale Industrial Control

The big picture: 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.

Why it matters:

• Legacy Systems: Many industrial facilities still rely on outdated control systems that require significant manual intervention and struggle with modern operational complexity.
• Operational Pressures: Energy-intensive industries face growing challenges from rising energy costs, evolving fuel sources, and market volatility, demanding more adaptable solutions.
• Efficiency & Emissions: Gigaton’s platform aims to improve operational efficiency, reduce emissions, and optimize plant operations through autonomous process control.

How it works:

• AI-Driven Optimization: Gigaton develops AI-driven control software that continuously optimizes plant operations, a technology refined over five years in collaboration with plant operators.
• Predictive Models: The platform operates within existing infrastructure, using simulations and predictive models to evaluate decisions and autonomously adjust parameters like fuel mix and oxygen levels.
• Control Stack Replacement: Unlike conventional optimization tools, Gigaton’s system is designed to replace the underlying control stack, continuously adapting to changing conditions by retraining on live plant data.

The catch: Gigaton faces the challenge of displacing deeply embedded legacy systems in conservative heavy industrial sectors. Adopting new AI-driven control requires significant trust and proven reliability to justify the high costs and potential operational risks associated with transitioning critical infrastructure.