Maptek News

April 16, 2026

Celebrating student success

Congratulations to Kai Westlake, winner of the 2026 Maptek Computer Science prize at the University of Adelaide, who describes his keys to success and career aspirations. The annual prize is awarded by the University of Adelaide to the top performing student in second-year Computer Science subjects.

March 9, 2026

2025 Geology Challenge winner tests machine learning with complex datasets

The Maptek Geology Challenge returned for its fifth year in 2025 with the theme: Is machine learning here to replace implicit modelling, or can the two work together to drive better outcomes?

March 6, 2026

Maptek acquires PETRA, strengthening orebody intelligence and mine value chain optimisation

Maptek, a global leader in innovative mining technology, today announced the acquisition of PETRA, a pioneer in orebody learning and data fusion technology, marking a significant milestone in the evolution of mining decision‑support solutions.

November 13, 2024

New Maptek platform for automation and orchestration for strategic decision making

On the back of successful demonstrations at MINExpo International in Las Vegas in September, Maptek is excited to announce that its Maptek Vestrex ecosystem for automation and orchestration is open for early access customers.

November 8, 2024

Mine design students prove smarter together

Maptek has awarded the 2024 Maptek Mine Design prize to University of Adelaide Mining Engineering students Ryan Braes, Ben Barrow, Mitchell Roberts, Guillaume Stander and Mitchell Jakab for their outstanding effort in this year’s competition.

Estimates of the capital expense and operating costs during mine life, along with internal rate of financial return, were determined based on the principles taught during the semester.

October 31, 2024

Multivariable modelling study wins Maptek Geology Challenge 2024

First prize in this year’s Maptek Geology Challenge has been awarded to Miguel Aliaga Oblitas, who showed how DomainMCF improved model consistency and reduced processing time in advanced multivariable geological modelling.