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About Us

Providing data & model driven solutions to sustainably improve occupant experiences

We are leading specialists in the design & delivery of proptech & cleantech solutions for smart building projects. We focus on improving occupant experiences while using less resources by deploying optimised control strategies.

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We Engage via

Channel Partners

For over a decade, we have worked with leading design consultants in the smart building and energy domain to help develop model-driven - and now data-driven - financial & engineering modelling solutions for better informed decision making.

With extensive digital engineering experience, we can solve problems inhibiting the flow of information and specialise in converging operational and information technologies on small or grand scale in new or existing projects.

We Engage via

Strategic Partners

We count amongst our strategic partners government agencies such as QLD Health & NSW Education.

Our academic partners include CSIRO, Data 61, and the International Energy Agency EBC Research Annex 81: ‘Data-Driven Smart Buildings’.

Over the years we have employed our digital engineering skills on Vicinity Centres, NRMA and Crown Property Group property portfolios.

We Develop and Supply

CostEx Software

Rapidly assess CapEx and OpEx (CostEx) for energy related components of a building to 50-year BCR and NPV.

We adopted a data-driven approach using AI + ML to speed up the delivery of many scenario models for assessing the viability of energy storage, generation and overall demand flexibility.

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Case Study

Demand Flexibility in NSW Schools

Working with SINSW & CSIRO to onboard three proof-of-concept schools into the iHub Smart Building Data Clearing House (DCH). An ARENA funded Innovation Hub for Affordable Heating & Cooling (iHub) project.

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Days Modelled


Scenarios Modelled


Years in Business


Happy Customers

Why Choose Us?

We are leaders in data-driven smart buildings

We understand the value that data-driven approaches can deliver during predesign and operational phases of the building lifecycle - in addition to traditional building energy modelling that complies with NCC Section JV3 using ASHRAE standard 140.

  • Industry leaders

    We actively participate in IEA/EBC Annex 81 on data-driven smart buildings and Mission Innovation IC7 on affordable heating and cooling.
  • Experienced team

    Our dynamic team draws upon many disciplines and has extensive experience with optimising the built environment both in modelling and thr real-world.
  • Proven track record

    From CSIRO to the QLD & NSW Governments, to some of the largest listed property portfolios in Australia, we have the record that provides innovation and reduces project risk.
  • Superior solutions

    Drawing upon our extensive R&D experiences and links with academia, we cut through what works and what doesn’t, providing the best solutions for the market to build.

Data-driven smart building


   Rapid Cost Assessment

Rapid Cost Assessment

Energy related design considerations are increasingly important to achieve certifications, both voluntary and mandatory.

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  Building Energy Modelling

Building Energy Modelling

Buildings can use 30% less electricity and reduce electrical maximum demand by up to 50% - simply by optimising the control of existing plant & equipment.

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  Demand Flexibility

Demand Flexibility

Buildings configured to operate to respond to price signals or other mechanisms (eg wholesale demand response management) can be defined as building-to-grid.

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Our company has an experienced


Arne Hansen

Managing Director

Lindsay Rex

Commercial Director

Kersten Schmidt

Consulting Engineer


Buildings Evolved Projects

Contact buildings evolved for data-driven smart buildings

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Learn from Buildings Evolved


Market Analysis
Big changes in NCC Section J 2022
by Arne Hansen/ on 10 Aug 2023

Big changes in NCC Section J 2022

The Australian National Construction Code Section J (energy efficiency performance requirements) contains many improvements that is inspired by LEED certification in the United States, but makes it mandatory for class 2-9 buildings in Australia - from 1st October 2023.

Building Data Genome Project
by Arne Hansen/ on 09 Aug 2023

Building Data Genome Project

The Building Data Genome Directory provides a rich and comprehensive dataset collection for building energy research, covering ontologies, models, and data from energy, water, electric vehicles, BIM, FDD and occupant sensors.