Gigaton

Gigaton develops autonomous AI control and optimization systems for energy-intensive industries, among them cement, steel, glass and chemicals. Founded in 2020 and spun out of University College London and the University of Cambridge, the company was formerly known as Carbon Re. It targets a segment of heavy industry said to emit roughly 8 billion tons of carbon a year, with the stated aim of cutting gigatonnes of emissions from the world's largest emitting sectors.

Its core product, Self-Learning Control, applies machine learning to both the control and optimization layers of plant operations. The system directly operates actuators, explains its actions to plant operators - a notable emphasis on AI explainability - and adapts as conditions change. Reported results at customer sites include a 4% reduction in fuel cost index and a 33% reduction in C3S variability.

Named industrial customers include Heidelberg Materials, Holcim, Cimsa, Secil, Cimpor and Mannok. Technical work spans autonomous control, industrial process optimization, control systems engineering and self-learning systems, framed internally as one of the more difficult control and machine learning problems in industry.

Gigaton raised $26 million in a Series A round led by Plural.