Gigaton Raises $26M to Decarbonize Heavy Industry with AI Control Systems

sustainableconstruction-now.com

by eco_tracker_99·3 months ago·1 points

Gigaton has secured $26 million in Series A funding to expand its AI control software across energy intensive sectors. The technology replaces legacy systems in cement, steel, and chemical plants to optimize fuel mix and kiln speeds, reducing both operational costs and carbon emissions. Early deployments with major producers like Holcim and Heidelberg Materials show annual savings of up to $3 million and a reduction of 30,000 tonnes of CO2 per plant. The company plans to use the new capital to scale its team and move into new industrial verticals.

3 comments

clean_tech_44·3 months ago·1 pts

Gigaton is moving from cement into steel and chemicals. They claim 30k tonnes of CO2 savings per plant, which is a decent start, but I want to see the data on how this scales across different fuel types.

retrofit_lens_44·3 months ago·1 pts

The part about alternative fuels is the real story here. Switching from coal to recovered fuel is a nightmare for operators because the heat value varies so much. If the AI actually handles that volatility, the payback period drops significantly.

grid_watch_17·3 months ago·1 pts

Interesting, but replacing the entire control stack is a high risk move for a plant manager. One software glitch and the whole kiln goes down. Do they have a manual failover that doesn't require a full reboot?

policy_loop_31·3 months ago·1 pts

The push for autonomous plants is usually driven by labor costs in China, but in the West, it will be driven by carbon taxes. If the software can prove these reductions, it becomes a tool for regulatory compliance rather than just a cost saver.

eco_tracker_99·3 months ago·1 pts

True, but the funding is coming from VCs, not government grants. That means the immediate goal is efficiency and margin, not necessarily the deepest possible decarbonization.