Construction is a tough industry, with unique projects, high capital costs, tight margins and fierce competition. It is no secret that construction projects struggle to reliably meet their financial performance expectations. Although organisations invest heavily in identifying financial risk early, there is no shortage of reports of construction organisations wrestling with cost overruns and profitability problems.  Financial stresses regularly result in company failures.

Its time something changed – and it has.

Octant AI’s artificial intelligence technology improves forecasts of outturn performance and delivers unprecedented early warning of emerging risk so that executives and managers can better direct the skills and resources of their organisations where they are truly needed, and deal with problems before they become big problems.

Whether you are a general contractor, subcontractor, consultant, owner or financier, Octant AI technology can be applied to reduce bottom line risk and achieve more sustainable, predictable outcomes.

At Octant AI we believe that more certainty is better for everyone.

Co-founders David Porter and Cuong Quang combined the experience gained from a career in capital projects and construction with groundbreaking research and emergent machine learning capability to develop an accessible, reliable on-line product which delivers certainty to the bottom line.

We have lived the problem of financial performance volatility for decades. It’s really rewarding to be able to offer the industry something so powerful and yet so simple to use”

Octant Business: Octant AI launches a game changing financial risk product on-line

AI is suddenly on everyone’s agenda. Companies are realising that if they do not adopt and use AI they are…

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Queensland Major Contractors Association Technology Demo Day June 14, 2023

Octant AI are proud to have presented and exhibited at the Queensland Major Contractors Association  (QMCA) technology demonstration day. While…

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How can we manage projects in the face of global uncertainty?

When the clock struck midnight on January 1 2020, few would have predicted the level of disruption that nations, businesses…

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