Systemic risks are potential trigger events or developments that could undermine the viability of entire networks or systems. For example, systemic risk from Mycoplasma bovis or COVID-19, could be significant damage to the New Zealand economy. However, artificial intelligence (AI) can identify such risks earlier and facilitate quicker responses and better outcomes. 


We present a novel, state-of-the-art method for systemic risk detection based on AI. Development and deployment of this method could save the New Zealand economy hundreds of millions of dollars over the next decade.

Examples of systemic risks include contagious food diseases and the bankruptcy of keystone companies and they're likely to happen more frequently in the future as markets (eg financial) are becoming increasingly complex and opaque, technological change is accelerating at an unprecedent rate and the global political situation is becoming more unstable.


Key Projects

Our Research

Latest News


Get in touch with our team

Contact us

Send an email to one of our team or check out our facilities located across Aotearoa New Zealand.

Send another enquiry

Something went wrong and the form could not be submitted. Please try again later.