alcemy funding news – Berlin-based alcemy Raises $10Million in Funding
Jul 5, 2024 | By Team SR
alcemy, Deeptech startup, raises $10million in funding in funding to expand its cement decarbonisation solution. The money comes after Alcemy partnered with Spenner, the fifth-biggest cement producer in Germany. Together, they have created a low-clinker, low-carbon cement combination of commercial quality—a first for the global industry.
SUMMARY
- alcemy, Deeptech startup, raises $10million in funding in funding to expand its cement decarbonisation solution.
- Alcemy forecasts the qualities of concrete and cement by utilising control and machine learning technologies.
The goal of the funding round, which is being managed by Norrsken VC, is to support it's R&D initiatives and make it easier for the company to enter additional markets in 2024, including the US.
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Contributions to the round came from climate investors like AENU and Galvanise Climate Solutions, who emphasised the strategic significance of decarbonisation solutions in international climate initiatives.
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Co-founder Spenner, says, “We launched alcemy with a bold vision: together with the manufacturers, we want to achieve the decarbonisation of the cement and concrete industry, which is responsible for 5-8 per cent of CO2 emissions worldwide. What we have been able to achieve in commercial settings has only ever been done before in a lab. With this additional nearly $10M in funding and support from Norrsken VC, in addition to our first-round investors, we’re paving the way to a low-carbon construction industry, one project at a time.”
Fabian Heilemann, founder and CEO of AENU, adds, “Concrete is one of the most ubiquitous materials upon which society is built. At the same time, it’s one of the biggest polluters on the planet. alcemy is in a unique position to immediately enable the production of more sustainable cement and concrete at scale with carbon emissions reduced by up to 30 per cent per ton.”
About Alcemy
Alcemy forecasts the qualities of concrete and cement by utilising control and machine learning technologies. Using real-time information from the whole value chain, this method turns conventional materials into high-tech, data-driven products.
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