Construction & Real-estate

Tailor‑made AI solutions for data quality, data structuring, and material optimization

—built for your challenge.

Sustainable construction requires better operational intelligence

  • Scattered environmental and product data across projects and system
  • Slow workflows built around manual workflows slows decision-making
  • Complex trade-offs between cost, performance, and climate impact

We Make Your Workflows Smarter & Faster

CiceroTM

Environmental Intelligence for Construction Products

Cicero delivers structured, quality-assured environmental intelligence for construction materials and products at scale.

The platform transforms fragmented environmental declarations into accessible, actionable data — helping organizations compare products, evaluate environmental impact, and integrate sustainability intelligence directly into digital workflows and decision-making.

Designed for the next generation of sustainable construction, Cicero makes environmental data operational across projects, teams, and systems.

Key capabilities

  • Search and compare environmental data across extensive product datasets 
  • Upload and decode declarations within minutes 
  • Standardize data from EPDs, PEPs, and other declaration formats 
  • Create custom material sets for comparison and project workflows 
  • Deliver data through dashboards, APIs, and exportable formats 
Get Started with Cicero!

Accessible Environmental Data

Search, filter, and retrieve quality-assured data easily

Compare & Evaluate

Analyze products by environmental impact quickly

Custom Sets

Organize materials for specific projects or organizational needs

Real-Time Updates

Get alerts when new or updated data becomes available

ZenoTM

AI Infrastructure for Supply Chain Data

Zeno transforms complex supplier documents into structured, machine-readable data using AI built for industrial workflows.

Designed for high-volume supply chains, Zeno eliminates manual data entry, reduces operational costs, and accelerates workflows by extracting, validating, and structuring information directly from PDFs and technical documentation.

Built for industrial-scale automation, Zeno integrates seamlessly into existing enterprise systems — turning fragmented supplier data into operational intelligence.

Key capabilities

  • Extract structured data from complex PDFs and supplier documentation 
  • Achieve high accuracy using document-specific AI models 
  • Integrate directly with ERP, PIM, PLM, and ESG systems 
  • Maintain a clear audit trail with reviewable source documents 
  • Cost-efficient processing at industrial scale
Get Started with Zeno!

Faster

Minutes instead of hours or days

Cheaper

~10 SEK/document vs 50–200 SEK via traditional methods

Scalable & Accurate

Works with thousands of PDFs of any layout

Reliable

Structured data directly ready for ERP, PIM, PLM, or ESG systems

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Supply-Chain Efficiency

We offer easy supply chain data automation.
Access structured data in days not months!

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Concrete Industry

AI solutions to enable sustainable growth.
Precision‑matched concrete for every application.

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Reseach & Development

We bring technology and data to the table. We love partnering at the edge of innovation. Together we can make wonders!

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NEWS AND ARTICLES

  • ”Concrete Action Towards Net Zero” Episode 4 – Building the Transition: How Construction Leaders Choose Low-Carbon Materials
    ”Concrete Action Towards Net Zero” Episode 4 – Building the Transition: How Construction Leaders Choose Low-Carbon Materials
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    When discussing sustainable construction, procurement often takes center stage. The focus is usually on selecting low-carbon materials, evaluating suppliers, and reducing emissions through purchasing decisions. But what if the biggest opportunity to reduce a building’s climate impact comes long before procurement begins? In this episode of Concrete Action Towards Net Zero, Anders Enebjörk (profile link),…

  • 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.…