About Ecometrix
Ecometrix is a Swedish independent company that provides digital services to improve, compare and make available environmental data. We specialize in the unique needs that exist within the construction industry and can offer a data platform that meets the high demands that the industry has in terms of relevance, security and simplicity.
Ecometrix was born out of a concrete need within the Swedish concrete industry. The industry needed secure, relevant and easily accessible environmental data, gathered in a common platform to be able to compare and monitor the progress of the industry's joint commitments to reduce its environmental impact and its set goals for Net Zero.
Today, Ecometrix is a platform that collects environmental data for the entire construction industry. We make environmental data available in all the processes within the industry that need material data and comparison figures in the work to reduce the industry's environmental impact. You can read more about Ecometrix services here.
Why we exist
We see the charts often. In different forms and contexts. But we need to look at them again. And again. But above all, we need to act. The projection of the red curve is why Ecometrix exists. The red curve must be tilted downward. We want to make the data available that makes it possible.

Source: IPCC
The construction industry in Sweden is responsible for an estimated 22% of all domestic emissions of greenhouse gases in Sweden (Source: Housing Authority). Globally, the construction industry is staggering 37% of emissions (Source: UN Environment programme). The change will have to come from an infinite number of small improvements throughout the construction process in everything from material production, design, material selection, construction techniques and life cycle analyses. Innovation and improvements are required on all levels – and for that, data is needed. Data that can be trusted and that simplifies the massive work that it really is.
Ecometrix works with different types of environmental data, not just Co2 (GWP). Our platforms can collect, refine and make available all types of environmental data.
Ecometrix's mission
- We believe that real change is possible if companies and decision-makers have access to high-quality data that enables transparent and well-informed decisions.
- We see the problems with the lack of data and data quality. Solving that problem is critical and urgent.
- We will do everything we can to become the European leader for environmental data in the construction industry
- We want to be the catalyst for true, transparent and lasting change in the construction industry.
This is us at Ecometrix!

Matthias Axelsson
Board member

Lars-Erik Eriksson
Board member

Maria Ciceri
System Developer

Lena Landahl
Senior advisor & HR

Brenda Hsien
Marketing

Lucas H. Schuber
Full-stack developer

Johan Sjostrom
Board member

Björn Sundqvist
Board member
NEWS AND ARTICLES
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From Clean Data to Business Value: Where Machine Learning Actually Delivers
Now that the data is cleaned and ready, it is easy to assume that the hard part is done. The model will perform well, predictions will be accurate, and value will naturally follow. That assumption is where many projects fall short. You feed the data, train the model, and generate predictions, but a prediction on its…
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"Concrete Action Towards Net Zero" Episode 3 - From Pilot to Scale: How Swerock made green concrete standard
Every cubic meter of concrete counts. At Swerock, part of the PEAB Group in Sweden, reducing CO₂ emissions is not a bold announcement, it is a series of small, deliberate steps. Staffan Carlström, Product Developer at Swerock, explains how testing, learning, and scaling eco-concrete has enabled measurable progress project by project and dataset by dataset.…
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The Invisible Work Behind Reliable AI
When people think of artificial intelligence, they imagine a sophisticated model crunching thousands, or even millions, of data points. But that's actually the last step. The real foundation of reliable AI is the work done before a model ever sees the data. AI starts with data, not models. Real-world data is fragmented, messy, and rarely…



