Artificial Intelligence | Machine Learning alcemy | Quality Control AI


Enterprise, Construction Materials, Cement & Concrete Production, Control Specifications Berlin , Germany

alcemy

Artificial Intelligence | Machine Learning


alcemy | Quality Control AI

alcemy

Construction Materials, Cement & Concrete Production, Control Specifications


Berlin , Germany

Concrete is the most widely used building material on our planet. The only thing mankind uses more of is water. With a wave of urban development coming in the next few decades, concrete is also a rapidly growing trillion-dollar market. However, cement and concrete production is responsible for 8% of the global CO2 emissions, making its growth a big cause for concern. Low-carbon concrete exists - but until now it has been too sophisticated to be produced reliably and on a large scale. It contains very little burnt limestone - responsible for the strength of concrete and CO2 emissions. This makes low-carbon concrete vulnerable to fluctuations in raw materials and operating conditions and thus difficult to produce with reliable quality. Adding to the challenge: the final quality of concrete can only be measured weeks AFTER it has been processed on the construction site - far too late to be corrected. This is why our world is still built on more robust, high-carbon concrete.

Using alcemy's software, cement and concrete producers receive precise quality predictions already during production. Based on these prediction models, our AI identifies which production parameters need to be adjusted to mitigate the impact of fluctuations. Thus, the quality of cement and concrete can be optimized BEFORE delivery – for the first time in history. The result is significantly more consistent product quality, allowing producers to safely replace burnt limestone with less expensive, low-carbon materials found in nature. In this way, they can also avoid payments for CO2 emission certificates in the EU. Saving costs, bringing production processes up to speed for 21st century concrete recipes, and saving half of Europe’s CO2 emissions goes hand in hand at alcemy.

 

B2B

26 to 50

Series A

$10.1M

Scaling Up

2018

 
 

Machinery
Industrial Machinery
Construction Machinery & Heavy Trucks

40% More Cement & Concrete Production
Less Expensive
High Quality
Quality Controlled Predictively

Increase Efficiency

 
 

Analytics
Service

Yes

Active

 
 

   Machine Learning


Material Discovery

Material Discovery

Construction Technology

Construction Technology


Text

Text

Structured

Structured

 

   Software & Hardware


Typescript

Typescript

Node.js

Node.js

JavaScript

JavaScript

Kubernetes

Kubernetes

Tensorflow

Tensorflow

C/C++

C/C++

Python

Python

Azure SQL

Azure SQL


Deep Learning Algorithm

Deep Learning Algorithm

Machine Learning Algorithm

Machine Learning Algorithm

 
 

View All

View All AI/ML Jobs

Data Engineer

Berlin, Berlin

Head of People

Berlin, Berlin

Fullstack Engineer

Remote, Berlin

Mechatronics Professional

Remote, Berlin

Backend Engineer

Remote, Berlin

 

AI/ML Professionals

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11

1

$10.1M

Company was founded 2018 and it took almost 4 years (Sep 2022) to raise first external round

 
 

Date

Round

$ Raised

Investors

09/12/2022

Series A

$10.1M

Galvanize Climate Solutions, AENU, BitStone Capital, MOMENI Ventures, E.R. Capital Holding, Tobias Nendel, Flixbus founders, EF Education First, La Famiglia, Firstminute Capital, LocalGlobe

Date : 09/12/2022

Round: Series A

$ Raised: $10.1M

Investors: Galvanize Climate Solutions, AENU, BitStone Capital, MOMENI Ventures, E.R. Capital Holding, Tobias Nendel, Flixbus founders, EF Education First, La Famiglia, Firstminute Capital, LocalGlobe

 

Investors

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Leopold Spanner

Leopold Spanner
Co-Founder / CEO

Robert Meyer

Robert Meyer
Co-Founder and CTO

Robert Meyer

Robert Meyer
VP Operations

 
 

Potential Customers

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