Artificial Intelligence for financial certainty
35%
earlier warning of cost/time outcome
97.5%
predictive accuracy
10%
bottom line improvement
10%
better capital productivity

“In an industry where project overruns are commonplace and practices have remained largely unchanged since the middle of last century, OctantAI’s predictive capability is revolutionary.”

Bent Flyvbjerg, Award-winning Author and most cited Scholar in the world on Megaproject Management

World Bank

The World Bank Independent Evaluation Group (“WBIEG”) engaged Octant AI in 2020 to evaluate whether Artificial Intelligence could enrich insights and improve the scale, speed and efficiency of complex portfolio evaluations. This allows World Bank to learn from vast amounts of historical performance data to understand whether its goals have been achieved, and to improve the performance of future projects.

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Hong Kong Development Bureau

Oxford Global Projects was approached by Hong Kong Development Bureau (HKDP) which oversees a large portfolio of infrastructure and building projects. Oxford Global Projects, which was co-founded by Professor Bent Flyvbjerg and Dr Alex Budzier, collaborated with Octant AI to test the ability of AI to predict cost and time over and underruns over the portfolio.

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Australian Road Research Board and NACOE for Queensland Department of Transport and Main Roads

The Queensland Department of Transport and Main Roads (TMR), in collaboration with the Australian Road Research Board (ARRB) and the National Asset Centre of Excellence (NACOE) engaged Octant AI to investigate whether AI could improve productivity of its capital-intensive portfolio of transport projects in Queensland.

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