Inside Fatigue Science

Machine Learning predicts truck accidents via ELD data
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Machine Learning breakthrough predicts truck accidents and fatigue from ELD data, improving fleet safety records

Recent advances in Machine Learning are enabling trucking fleets to predict each driver’s probability of getting in a fatigue-related accident on any upcoming shift—before the driver gets behind the wheel.
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Predicting fatigue with machine learning

Enjoy this great article about supporting safety with technology featuring Readi FMIS published by Paul Adair, WDC Staff Writer for Women Driving Change magazine.
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Newcrest’s Lihir mine deploys Readi site-wide for predictive fatigue management

Fatigue Science is proud to announce that Newcrest Mining Limited has deployed its Readi predictive fatigue management technology site-wide at its Lihir mine site in Papua New Guinea.
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Fatigue Science Wins Green Cross Safety Innovation Award

The National Safety Council announced Fatigue Science wins its prestigious Green Cross Award for Safety Innovation.
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Glencore Lomas Bayas implements Readi FMIS

Glencore's Compañía Minera Lomas Bayas (CMLB), a major producer of low-grade oxide copper ore, announced the implementation of Readi FMIS for predictive fatigue management throughout its site located in the Antofagasta Region.
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Fatigue Science launches Machine Learning engine providing world’s first workforce fatigue predictions without wearables

Fatigue Science is pleased to announce the commercial launch of a breakthrough technology advance in its fatigue management platform. For the first time ever, customers can now obtain validated, personalized fatigue predictions for operators in their workforce, without requiring the use of wearables.
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Supervisor App Upgrade: Offline Mode and Hotspots View for shift supervisors

Fatigue Science announces Offline Mode and Hotspots View for shift supervisors, enabling proactive fatigue intervention in underground and remote environments.
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Mine sites achieve $6M benefit using predictive fatigue tech

Discover how 2 mines each achieved a $6M annual benefit in productivity and safety improvements using Readi FMIS. 
Adam Vander Burgt
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Fatigue Science announces strategic hire of veteran EHSQ SaaS Sales VP, Adam Vander Burgt

Fatigue Science, the global leader in predictive fatigue analytics for mining, transportation and heavy industry, is pleased to announce that Adam Vander Burgt has joined Fatigue Science as Vice President of Sales.
Mine supervisor with equipment in the background, 14-Day Fatigue Forecasting heatmap showing a 3% increase
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New data reveal substantial productivity benefit using Readi fatigue management system

Fatigue Science, the global leader in predictive fatigue analytics and information systems for mining, transportation and heavy industry, is pleased to announce the results of two recent studies that quantified the significant improvement in mine productivity resulting from the implementation of Readi, its fatigue management software.
Image of ReadiWatch and a miner giving his thumbs up
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Fatigue Science launches ReadiWatch, the first purpose-built industrial wearable delivering predictive and realtime Fatigue Alerts without a smartphone

Fatigue Science, the global leader in predictive fatigue analytics and information systems for heavy industry and military, is pleased to announce the release of ReadiWatch, a purpose-built smartwatch delivering predictive fatigue awareness and both real-time and predictive Fatigue Alerts to operators and the enterprise in safety-sensitive industrial environments.
Screenshots of Instant Insights
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Fatigue Science announces Instant Insights, an automated tool that pinpoints scheduling hotspots

Fatigue Science, the global leader in providing predictive fatigue analytics and information systems to heavy industry and military, is pleased to announce the launch of Instant Insights, an automated fatigue modeling tool and an additional component of Readi, its Fatigue Management Information System (FMIS).
Supervisor using ReadiSupervise Mobile
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Fatigue Science announces ReadiSupervise Mobile, app for supervisors to monitor on-duty crew fatigue

Fatigue Science, the global leader in providing fatigue and performance predictive analytics and fatigue management information systems to heavy industry, military, and elite sports teams, is pleased to announce the launch of ReadiSupervise Mobile. This new functionality will help shift supervisors more effectively manage fatigue risk, improve operator safety, and increase crew performance in daily operations.