VANCOUVER, BC – October 28, 2026 – Fatigue Science, the leader in predictive fatigue risk management for mining and other safety-critical industries, today announced that AMS (African Mining Services), a subsidiary of Perenti, has selected Fatigue Science and its Readi™ fatigue management platform for a pilot program at the Sandfire Resources Motheo Copper Mine in Botswana. The pilot is focused on identifying and managing operator fatigue risk before incidents occur.
AMS is Perenti's surface mining business in Africa and has delivered open pit mining services at Motheo for Sandfire Resources since 2022. Located near Ghanzi in Botswana's Kalahari Copper Belt, Motheo runs its T3 and A4 open pits as an integrated, around-the-clock mining operation.
The pilot will introduce Readi's predictive fatigue technology into AMS Botswana's existing safety program, beginning with haul truck operators and the supervisors and dispatchers who manage them. It will give site leaders greater visibility into when individual operators may be at elevated fatigue risk during an upcoming shift.
Readi provides an hour-by-hour, personalized fatigue forecast for the full upcoming shift, allowing site teams to identify elevated risk before an operator reaches a critical point in the cab. Supervisors and dispatchers can then take practical actions, such as strategically timed fatigue breaks, check-ins or task rotation, while minimizing disruption to production.
"We see ourselves as a learning business, and fatigue is a risk we want to understand far better," said John Grant, Head of HSE - Africa - Perenti Contract Mining. "Our in-cab systems are an important last line of defence, but the earlier we can identify fatigue risk, the greater our opportunity to intervene and prevent an incident. This pilot gives us an opportunity to understand how predictive fatigue data can help us move from reacting to fatigue to anticipating it."
AMS Botswana's haul trucks at Motheo are equipped with in-cab fatigue detection systems that alert operators when signs of fatigue appear. The Fatigue Science pilot will explore how Readi can add an earlier layer of insight by identifying when an operator may be approaching elevated fatigue risk before an in-cab alarm occurs.
"Mining contractors run around-the-clock operations where fatigue risk is shaped by long shifts, night work and time away from home," said Andrew Morden, CEO of Fatigue Science. "AMS is asking exactly the right question: how do you see fatigue risk before the shift starts, not after an alarm goes off. Readi gives site teams a practical leading indicator, so supervisors can focus their attention where it will have the greatest impact."
Readi offers flexible deployment to fit each site. At Motheo, all participants will complete a brief one-time sleep questionnaire, and operators who opt in will wear a ReadiWatch for a short period to build a more precise personal sleep profile, so every participant receives a personalized ReadiScore. Readi shares only a single fatigue score with supervisors, never raw sleep data or off-shift activity.
As part of the pilot, Fatigue Science and AMS in Botswana will build a site-specific fatigue risk baseline across roles, crews and shifts, examine how working hours, roster patterns and travel between site and home affect recovery, and identify opportunities to embed predictive fatigue data into a formal fatigue risk management program.
The initiative builds on Fatigue Science's work with mining operations worldwide, including Newmont, MMG, First Quantum Minerals and Barrick, using predictive fatigue management to complement in-cab fatigue detection systems and existing safety controls.
To learn more about how mining operations are using predictive fatigue management to identify operator risk earlier, visit www.fatiguescience.com.
Sunny Sung
VP, Marketing
Fatigue Science
marketing@fatiguescience.com
+1 (604) 408-0085