About Ecometrix

We build AI-driven infrastructure for an industry that must move faster.

The industry is under pressure to transform.

Emissions must fall. Regulations are tightening. Margins are under pressure. Supply chains are becoming more complex. At the same time, companies are expected to move faster, operate more efficiently, and make better decisions with greater confidence, a challanging balance act.

But progress is still slowed by fragmented information, manual workflows, and decisions made without the clarity today’s challenges demand.

Ecometrix exists to change that.

We bring AI-driven systems that transforms decision-making, helping companies move from uncertainty to action, from scattered inputs to clear insights, and from slow processes to smarter, faster outcomes.

Our story

Ecometrix was born from a real need in the Swedish concrete industry.

The industry needed a secure, relevant, and easy-to-use platform to track environmental performance and support progress toward Net Zero. We worked closely with leading industry players to build that foundation, and discovered something bigger.

There is ambition, but it It lacks the intelligence layer needed to make better decisions at scale.

That insight became Ecometrix.

Why it matters

The next generation of sustainable industry will not be driven by isolated breakthroughs.

It will come from thousands of smarter choices made every day.

Better materials.
Better mixes.
Better procurement.
Better design.
Better trade-offs between cost, performance, and climate impact.

AI-driven analytics makes those choices faster, clearer, and more scalable.

Why we exist

We are building the intelligence layer for the sustainable industry of tomorrow. We help companies build smarter, reduce environmental impact, save time, lower costs, and stay competitive in a Net Zero world.

A platform ecosystem where data becomes insight, insight becomes action, and better decisions become the standard.

The companies that win tomorrow will be the ones that decide faster, optimize better, and act with confidence today.

Ecometrix is here to help build that future.

Our mission

  • To accelerate the transformation of industry and construction by making AI-powered operational intelligence part of every critical decision.
  • We want to be the catalyst for true, transparent and lasting change for a sustainable built environment.

People at Ecometrix!

Styrelsemedlem

NEWS AND ARTICLES

  • LeadIT 3.0: Strengthening the Sweden–India Partnership for Industrial Transition
    LeadIT 3.0: Strengthening the Sweden–India Partnership for Industrial Transition
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    The recent announcement by the Prime Ministers of Sweden and India to extend the Leadership Group for Industry Transition (LeadIT) for another four years marks an important milestone for global industrial transformation. The decision reinforces the long-term commitment between Sweden and India to accelerate the transition of heavy industry and strengthen collaboration around low-carbon industrial…

  • From Clean Data to Business Value: Where Machine Learning Actually Delivers
    From Clean Data to Business Value: Where Machine Learning Actually Delivers
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    Now that the data is cleaned and ready, it is easy to assume 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…

  • ”Concrete Action Towards Net Zero” Episode 3 – From Pilot to Scale: How Swerock made green concrete standard
    ”Concrete Action Towards Net Zero” Episode 3 – From Pilot to Scale: How Swerock made green concrete standard
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    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.…