Rethink what’s
already built.

Technology for circular construction.

For projects in existing buildings we deliver the full chain, from precise three-dimensional capture through in-depth potential assessment to a shared workflow in our software.

So that retention becomes a real option, for circular and cost-efficient planning, for engineers and non-engineers alike.

 

orto space

Collaborate in the point cloud model, straight from the browser

  • Measure dimensions, components and condition
  • Locate reports and find them again easily
  • Bring every trade together in one model
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Reality Capture

High-precision laser surveys for planning, reuse and life cycle assessment

  • Deformation-accurate 2D/3D drawings
  • Intelligent area and quantity take-off
  • 3D building modelling (IFC)
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Potential Analysis

Reducing risk and enabling high-value reuse in existing buildings, based on data

Component audits and digital archiving

Reuse potential and risk assessment

LCA in accordance with DIN EN ISO 14040

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»Working with existing buildings should be a pleasure. So we are building the tools we were missing ourselves.«

Felix Matschinske, Co-Founder → Our Mission

Precision is a head start

Reduce planning risk and cost through precision from the start.

Costs

-30–60 %

Cut travel and coordination effort through central data access.1

Time

-35 %

Increase the value through transparent documentation.2

Market Value

+10 %


1: AACE International (2020). Cost Estimate Classification System – As Applied in Engineering, Procurement, and Construction.
2: ETASR (2023). Construction Cost Overrun Analysis Studies.

Strategic Projects

Phase 0

Federal Ministry of Economics
Research & Development

Together with Coburg University of Applied Sciences, Faculty of Digital Heritage Conservation, orto is developing the digital building logbook for work on existing buildings

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DIN SPEC 91506

German Institute for Standardization
Research & Development

Carbon storage in existing buildings cannot yet be measured in a consistent way. Together with partners from research and industry, we are developing the methodology to do so.

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RE-3D Spatial AI

Supported by European Union
Research & Development

As part of Berlin’s Masterplan Industriestadt 4.0, orto is developing the foundations for digital point cloud segmentation in a circular construction industry.

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Open Cultures

Technical University Brunswick
Research & Development

Working across disciplines with research and industry: an analysis of existing buildings and land that brings participation and planning together.

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Added value for projects

ARSCrematorium

KDLIndustrial Warehouse

RH5Detached House

PTKPeripheral Buildings

HAFFSocial Housing WBS70
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  • Company
  • RE-3D Spatial AI

    • RE-3D Spatial AI

    Supported by European Union

    Automated Point Cloud Segmentation
    for Building Stock Qualification 

    2026–2027

    Project period

    • Dismantling and Material Re-Use
       

    • Component extraction from point cloud data
       

    • Real-time material database matching
       

    • Simultaneous digital analysis
       

    Buildings are demolished every year. Not because they have reached the end of their useful life, but because reliable as-built data is missing. Incomplete documentation creates planning and financing risks that structurally disadvantage renovation and reuse in favour of new construction.

    The consequences are significant: valuable materials, embodied carbon and established building fabric are lost — despite the EU Green Deal, the National Circular Economy Strategy and ESG requirements all demanding consistent resource conservation. Germany's fee schedule for architects and engineers (HOAI) estimates the additional cost of refurbishment at 20%. In practice, it regularly exceeds 60%. As long as this data gap persists, circular construction projects remain economically and operationally disadvantaged.

    This is the starting point for the RE-3D development project. Using AI-driven software, 3D point cloud data is analysed automatically: building components are segmented, materials classified and matched in real time against Ökobaudat and EPD databases (Environmental Product Declarations). A single scan produces a qualified building stock dataset, applicable to circular planning, deconstruction concepts and the targeted transfer of components into their next life cycle.

    The technological development is funded by the Berlin Senate and the European Union. The project forms part of a broader commitment to a climate-responsible construction industry and the effective implementation of circular planning standards across existing building stock.

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