Building the future of
AI-powered infrastructure delivery.
Cutting-edge technology that eliminates the root cause of cost overruns and delays on major infrastructure projects worldwide.
Setting the standard for construction data intelligence
At Lumiate, we're creating the industry standard for construction data intelligence in major infrastructure projects. Our AI-powered platform transforms how quantity takeoffs, construction schedules, cost estimates and risk registers are produced - we aim to save more than 10 million days of dataset creation, so governments can allocate resources where they're needed most.
Meet our founding team.
We have deep construction industry and AI expertise.
Ryan brings 15+ years experience in major energy and infrastructure projects. His expertise spans government, engineering, construction, and consultancy organisations around the world.
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Hannah is a pioneering AI/ML expert with 15+ years solving complex industry challenges. She specialises in innovative computer vision and NLP techniques that unlock insights from complex engineering data. PhD-qualified and our Computer Science guru.
We're hiring!
Industry experts supporting our mission
Our Advisory Board are experts in their fields, bringing decades of experience across infrastructure, technology and business.
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Karthik is a construction technology pioneer and successful entrepreneur who co-founded Firmable, raising $9M in 2023. As an early Aconex employee through its $1.6B Oracle acquisition, and later as Oracle's Global VP of Data and Strategy, Karthik brings unparalleled expertise in construction technology innovation and scaling.
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Richard brings a wealth of executive leadership experience across major organisations including Queensland Rail, Transport for NSW and WSP, both in Australia and internationally. His expertise spans energy, infrastructure and enterprise software sectors, with extensive experience in ASX, NASDAQ and Toronto Stock Exchange listed companies.
Alexander, an original co-founder of Lumiate, brings over 10 years of construction business intelligence and data analytics expertise. His leadership and deep understanding of construction data challenges and solutions helped establish Lumiate's innovative approach to construction data intelligence. Alexander's technical vision continues to shape the evolution of the Lumiate platform.
Anna is a GTM powerhouse who has guided companies from startup through to successful IPO twice. She has worked with companies such as Prospa, ServiceRocket, Castlepoint Systems, Tempest AI, The Seven Network and BT. Anna excels at building compelling brand narratives and growth strategies for high-growth technology companies.
Matt is a startup specialist who helped build Zip Co from founding team to market leader. As Business Development Director at Zip and now Strategic Advisor at Instant, Matt provides invaluable guidance on startup growth strategy, fundraising, and commercial partnerships.
From major infrastructure challenges to AI innovation
The idea behind Lumiate began during a high-stakes $1.5 billion highway project tender for a major government client. Our founder was responsible for developing the construction schedule as part of a joint venture between two of the biggest tier 1 construction companies in Australia. With only two months to create the construction schedule for a project of such magnitude and complexity, the challenge was immense.
The detailed design from the client was constantly changing—while our founder could only incorporate up to revision 3, the estimators worked with revision 6, creating a significant risk of cost and time misalignment.
Processing the vast amount of construction data required manually performing quantity takeoffs on hundreds of pages of drawings and analysing numerous text reports. The size and complexity of the project necessitated a construction schedule with 13,000 line items.
The sheer volume and complexity of the data makes it virtually impossible for any human to eliminate all errors—missed scope items, measurement discrepancies, and incorrect activity linkages are almost guaranteed when processing such enormous datasets manually.
The unsustainable work pattern of starting at 6am and finishing at 3am became all too frequent. This experience made it clear: there had to be a better way to handle construction data for major infrastructure projects.