ABB and Alcemy collaborate to integrate AI-based quality control with automation systems, aiming to reduce emissions and enhance efficiency in cement production through predictive analytics and real-time optimisation.
ABB has moved to deepen its digital push in cement production through a memorandum of understanding with alcemy, the industrial decarbonisation specialist, in a collaboration focused on AI-based quality control and lower-emission manufacturing.
The agreement is designed to link ABB’s automation and process control systems with alcemy’s machine-learning models so plants can make more accurate decisions about cement and concrete quality in real time. According to the companies, alcemy’s software will draw process and quality data from ABB Knowledge Manager, analyse it through predictive models and then send setpoints back into ABB Ability Expert Optimizer. The aim is to create a closed-loop system that helps operators manage variation, improve consistency and sharpen overall plant performance.
For an industry under pressure to cut emissions while maintaining product quality, the attraction is clear. Better control of production parameters can reduce waste, improve raw material efficiency and lower energy demand, all of which are central to cement-sector decarbonisation efforts. The companies say the collaboration is intended to help close the gap between data capture and operational optimisation, a challenge that remains common across industrial plants.
ABB’s cement business has already positioned digital control as a core part of its offer, with tools such as its Expert Optimizer platform and related inferential and performance-monitoring systems. Alcemy, meanwhile, markets AI software for cement and concrete producers that can predict strength, support fineness optimisation and improve transparency around consistency, including in ready-mix applications. Together, the two companies are seeking to build a combined value proposition for both cement makers and concrete customers.
Bodil Recke, global manager for ABB’s cement business, said artificial intelligence was becoming an important enabler for the sector’s future, adding that the partnership was meant to support both performance gains and decarbonisation targets. Leopold Spenner, co-founder and chief executive of alcemy, said the deal would bring predictive quality insights closer to plant operations and help the industry achieve more consistent outcomes with less environmental impact.
The MoU does not amount to a full commercial roll-out, but it signals growing interest in pairing industrial automation with AI-driven quality prediction as producers look for practical routes to lower-carbon manufacturing without sacrificing reliability.
- https://www.worldcement.com/europe-cis/29042026/abb-and-alcemy-collaborate-to-bring-ai-driven-quality-control-to-cement-production/ – Please view link – unable to able to access data
- https://www.agg-net.com/news/abb-and-alcemy-collaborate-on-ai-driven-quality-control – ABB and Alcemy have signed a Memorandum of Understanding (MoU) to explore AI solutions for determining cement and concrete quality. This collaboration combines ABB’s automation and process control expertise with Alcemy’s predictive technology, aiming to improve process optimisation and reduce emissions in cement production globally. The integration involves extracting process and quality data from ABB Knowledge Manager, analysing it using machine learning models, and feeding setpoints back to ABB Ability™ Expert Optimizer. This closed-loop approach is designed to help operators better manage variability, refine product consistency, and enhance overall plant performance. The partnership also aims to support more efficient use of raw materials and energy while reducing process variability. Additionally, ABB and Alcemy are establishing a framework to explore technical and commercial synergies, including the development of a joint value proposition for cement and ready-mix concrete customers. ([agg-net.com](https://www.agg-net.com/news/abb-and-alcemy-collaborate-on-ai-driven-quality-control?utm_source=openai))
- https://www.controlengeurope.com/article/221708/Bringing-AI-driven-quality-control-to-cement-production.aspx – ABB has signed a Memorandum of Understanding (MoU) with industrial decarbonisation company, Alcemy, to explore AI solutions determining cement and concrete quality. The agreement aims to improve process optimisation while reducing emissions in cement production globally. Integrating predictive quality insights into plant operations lies at the heart of this collaboration. Alcemy’s solution will extract process and quality data from ABB Knowledge Manager, analyse it using machine learning models, and feed setpoints back to ABB Ability Expert Optimizer. This closed-loop approach is designed to help operators better manage variability by refining product consistency and enhancing overall plant performance. With more precise control of production parameters, the collaboration hopes to support more efficient use of raw materials and energy while reducing process variability and aims to close the gap between data and process optimisation. As part of the collaboration, ABB and Alcemy are establishing a framework to explore technical and commercial synergies, including the development of a joint value proposition for cement and ready-mix concrete customers. ([controlengeurope.com](https://www.controlengeurope.com/article/221708/Bringing-AI-driven-quality-control-to-cement-production.aspx?utm_source=openai))
- https://www.marketscreener.com/news/abb-and-alcemy-collaborate-to-bring-ai-driven-quality-control-to-cement-production-ce7f59d3dc8cf724 – ABB and Alcemy have signed a Memorandum of Understanding (MoU) to explore AI solutions determining cement and concrete quality. Combining ABB’s automation and process control expertise with Alcemy’s predictive technology, the agreement aims to improve process optimisation while reducing emissions in cement production globally. Integrating predictive quality insights into plant operations lies at the heart of this collaboration. Alcemy’s solution will extract process and quality data from ABB Knowledge Manager, analyse it using machine learning models, and feed setpoints back to ABB Ability Expert Optimizer. This closed-loop approach is designed to help operators better manage variability by refining product consistency and enhancing overall plant performance. With more precise control of production parameters, the collaboration supports more efficient use of raw materials and energy while reducing process variability. By combining domain expertise with emerging technologies, the partnership aims to close the gap between data and process optimisation. As part of the collaboration, ABB and Alcemy are establishing a framework to explore technical and commercial synergies, including the development of a joint value proposition for cement and ready-mix concrete customers. ([marketscreener.com](https://www.marketscreener.com/news/abb-and-alcemy-collaborate-to-bring-ai-driven-quality-control-to-cement-production-ce7f59d3dc8cf724?utm_source=openai))
- https://alcemy.tech/cement – Alcemy offers AI-based software solutions for the cement industry, enabling real-time prediction of cement strength and optimisation of fineness to achieve target strength. This approach allows producers to reduce clinker content while maintaining high-quality standards. The software analyses existing laboratory data using AI/ML algorithms, providing predictive insights that support efficient use of raw materials and energy, and contribute to decarbonisation efforts in cement production. ([alcemy.tech](https://alcemy.tech/cement?utm_source=openai))
- https://new.abb.com/cement/cement/systems-and-solutions/advanced-process-control/building-an-intelligent-cement-plant – ABB is at the forefront of digital transformation in the cement industry with its Advanced Process Control (APC) system, ABB Ability™ Expert Optimizer. This system, part of ABB’s digital solution suite, complements process control optimisation with tools like Loop Performance Monitoring (LPM) and the AI/ML-based Inferential Modelling Platform. These technologies support cement plants in achieving peak operating conditions by leveraging real-time and historical data, advanced digital models, and predictive analytics to manage outcomes effectively. ([new.abb.com](https://new.abb.com/cement/cement/systems-and-solutions/advanced-process-control/building-an-intelligent-cement-plant?utm_source=openai))
- https://alcemy.tech/en/concrete – Alcemy provides AI-based software solutions for the concrete industry, enabling real-time tracking of concrete consistency from plant to construction site. The system consists of AI/ML software and installed hardware sensors, allowing users to monitor water additions and changes with full transparency. This approach enhances quality control, supports efficient use of resources, and contributes to decarbonisation efforts in concrete production. ([alcemy.tech](https://alcemy.tech/en/concrete?utm_source=openai))
Noah Fact Check Pro
The draft above was created using the information available at the time the story first
emerged. We’ve since applied our fact-checking process to the final narrative, based on the criteria listed
below. The results are intended to help you assess the credibility of the piece and highlight any areas that may
warrant further investigation.
Freshness check
Score:
10
Notes:
The article was published on 29 April 2026, and no substantially similar content was found online prior to this date. The narrative appears original and fresh.
Quotes check
Score:
8
Notes:
Direct quotes from Bodil Recke and Leopold Spenner are included. While these quotes are present in the provided sources, they are not independently verifiable through other reputable outlets. This raises concerns about the authenticity and originality of the quotes. Further verification is needed to confirm their accuracy.
Source reliability
Score:
7
Notes:
The article originates from World Cement, a niche publication focused on the cement industry. While it is reputable within its niche, its reach and influence are limited compared to major news organisations. Additionally, the article appears to be based on a press release, which may indicate a lack of independent reporting. This raises concerns about the source’s independence and potential bias.
Plausibility check
Score:
9
Notes:
The collaboration between ABB and alcemy to integrate AI-driven quality control in cement production is plausible and aligns with industry trends towards digitalisation and decarbonisation. However, the lack of independent verification of the quotes and the reliance on a press release for the narrative raise questions about the depth of reporting and potential biases.
Overall assessment
Verdict (FAIL, OPEN, PASS): FAIL
Confidence (LOW, MEDIUM, HIGH): MEDIUM
Summary:
The article presents a collaboration between ABB and alcemy to implement AI-driven quality control in cement production. While the narrative is plausible and timely, it relies heavily on a press release and includes quotes that cannot be independently verified. The source’s limited reach and potential biases further undermine the article’s credibility. Given these concerns, the content does not meet the necessary standards for publication.
