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07 Nov 2022

Cambridge spin-out raises £4.2m to tackle gigatonnes of emissions from highly pollutive cement industry

Cambridge spin-out raises £4.2m to tackle gigatonnes of emissions from highly pollutive cement industry
University of Cambridge and UCL joint spin-out to accelerate roll-out of AI-based industrial decarbonisation technology

Carbon Re, a climate tech company building state-of-the-art AI to decarbonise energy-intensive industries, has raised £4.2 million seed funding to scale up development and deployment of its novel technology. Their Delta Zero AI platform enables the highly pollutive cement industry to reduce over 50 kilotonnes of annual CO2 emissions per plant. Each installation of the software saves as much CO2 as taking 11,000 cars off the road.

Energy-intensive industries, such as cement, steel and glass, account for over 20% of global greenhouse gas emissions and are one of the hardest sectors of the economy to decarbonize. The current plan for these industries relies heavily on Carbon Capture and Storage, a technology that will take decades to scale and increases the cost of these fundamental materials by as much as 60%. Carbon Re’s platform, in contrast, is already reducing emissions today, cuts the cost of production, and requires no new equipment. 

Planet A Ventures, a Berlin-based green tech venture capital firm led the investment, with follow-on participation from Clean Growth Fund, UCL Technology Fund and Cambridge Enterprise. The new investment will enable product roll-out into the global cement market and expand into other energy-intensive industries, such as steel and glass.

In just two years, Carbon Re’s innovative software is already being used in pilot projects to cut fuel use and CO2 emissions by up to 10% at cement plants in Europe, Asia and the Americas.

Carbon Re’s cloud-based Delta Zero platform models the unique production environment of each plant and uses advanced machine learning and AI techniques to achieve previously out-of-reach operational efficiencies. Delta Zero continuously analyses manufacturing data to enable plant operators to optimise production processes on a near-live basis.   

Optimal processes can be identified for the lowest possible CO2 output and fuel use, reducing operational costs and carbon emissions to otherwise unachievable levels, with no capital expenditure.

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