,

Fatigue Science Receives Funding for Forecasting Sleep and Fatigue Predictive Analytics from Industrial Internet of Things Data

|by

Vancouver, BC – Fatigue Science, a global leader in predictive human performance data in elite sports, military and heavy industry, is pleased to announce that it will receive advisory services and up to $99,780 in research and development funding from the National Research Council of Canada Industrial Research Assistance Program (NRC IRAP). This support will act as a catalyst as the Company continues to provide market-leading sleep and fatigue management SaaS solutions to customers worldwide.

Fatigue Science President & CEO Andrew Morden thanked NRC IRAP for its support of technology companies and innovators. “Fatigue Science has a remarkable customer base that values technological innovation and specifically IIoT solutions. They require technology that predicts, quantifies, and contextualizes the insights that are critical in managing workforce sleep and fatigue in order to ensure the health and safety of their workforce, along with effective and efficient operations. We are expanding on the global stage, and initiatives such as NRC IRAP will play a key role in our success. We are both thrilled and thankful to be part of this ecosystem.”

CTO Michael O’Neal adds, “We are very excited to receive this support, which will be used to accelerate the development of scalable infrastructure for our ReadiAnalytics™ platform. This platform will provide meaningful predictive analytics required for managing workforce, team, and individual risk and performance for our heavy industry, military and elite sports clients around the world.”

The Company’s ReadiAnalytics and Readi™ solutions are built on SAFTE™, the world’s leading biomathematical sleep and fatigue prediction and forecasting model which is designed specifically for elite athletes, military operators and industrial workforces. Our enterprise SaaS solution uses validated science and wearable data to quantify and predict the effects of sleep disruption and schedules on workers’, soldiers’ and athletes’ reaction time and cognitive effectiveness at the enterprise-, group-, and individual-level. These factors are the objective components of fatigue.

The Company’s wearable-agnostic architecture, which allows customers to use their preferred hardware, such as our proprietary validated ReadiBand™ and many 3rd party devices, is also playing a key role in enabling broader adoption and success.

Interested in learning more about data-driven fatigue management?

BOOK A PRODUCT DEMO

or download our free eBook on the Science of Sleep for industrial workforces

RELATED POSTS

, , , , ,

Fatigue Science Achieves Milestone as 20 Mine Sites Adopt Readi Site-Wide for Fatigue Management

We are proud to announce that our Readi platform has been adopted by 20 mine sites worldwide, solidifying its position as the industry standard for managing worker fatigue.
, , , , ,

Predictive vs. Reactive Fatigue Management in Mining

In this article, we will explore the differences between reactive and proactive approaches to fatigue management, examining their respective strengths and discussing how they can complement each other to maximize safety and efficiency in mining operations.
, , , , ,

How Fatigue Affects 7 Key Metrics in Mining

Operator fatigue is a force inherent to mining, and unfortunately an omnipresent threat to safety and productivity, with a direct impact on lost-time incidents, injury, death, and financial losses. In this article, we discuss the impact of worker fatigue on the seven metrics that matter to mining companies.