Average annual savings generated per kiln
Self-learning control that you can understand
Gigaton builds AI systems that control and optimise cement plants. This is tech that actually works: reducing cost, complexity and carbon at the same time. Win, win, win.
Gig stats
reduction in heat consumption
of CO2
Most control systems work well at first, then degrade as the plant changes. Gigaton doesn't drift.
Our Self Learning Control system continuously retrains, tests, and updates its models and policies to improve performance over time.
For AI to earn trust in a control room, accuracy isn't enough. Operators need to know why a control action has been made.
Gigaton visualises the reason behind each decision, emboldening your team as the system autonomously executes to hit your plant’s KPIs.
Most control systems react to events as they happen. Gigaton acts ahead of problems rather than after them by forecasting process variables, like temperature and gas composition.
These models also power a digital twin of your plant. Providing a testbed to iterate on controllers in simulation before they touch the kiln. Faster deployments, safer control.
Plant priorities change. Traditional control systems don’t change with them.
Gigaton lets plant managers turn strategic decisions to operational outcomes. Shifting focus from ‘cost’ to ‘production’ in a single click. The controller acts autonomously, connecting directly to the DCS.
Industries
Our investors
Heidelberg Materials improves performance by deploying Gigaton’s Self-Learning Control system
Since 2021, we’ve been looking for the right team to help us move from traditional operation to smart AI driven control. Gigaton’s platform, which merges the expert system with cutting edge AI makes the entire architecture cleaner, more robust and ready for real life deployment. This is a breakthrough technology delivering measurable value to our production.
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