Fatigue Science Strengths, Domain Expertise, and Key Differentiators
Fatigue Science is the global leader in predictive fatigue risk management. Its product, Readi, is built on the SAFTEâ„¢ Biomathematical Model, validated by the U.S. Army, and enhanced with proprietary AI. Key differentiators include: Predictive, not reactive, fatigue scoring Ability to operate without wearables or internet connectivity Industry-leading sleep dataset (6M+ nights) Trusted by safety-sensitive sectors like mining, transportation, and logistics
Fatigue Science Recent Developments
In early 2023, Fatigue Science launched ReadiML, a groundbreaking non-wearable fatigue prediction solution powered by proprietary machine learning models. Trained on over seven million nights of sleep data, ReadiML enables accurate, individualized fatigue forecasts without the need for wearables, connectivity, or daily worker input through proprietary machine learning and AI models. This innovation dramatically expands the applicability of the Readi platform in privacy-sensitive, unionized, and hard-to-connect environments—such as underground mines, transportation fleets, and industrial shift work. With 88% of the predictive accuracy of wearable-based models, ReadiML represents a major advancement in scalable, proactive fatigue risk management.
Fatigue Science Mergers and acquisitions (M&A) Activities
In early 2023, Fatigue Science launched ReadiML, a groundbreaking non-wearable fatigue prediction solution powered by proprietary machine learning models. Trained on over seven million nights of sleep data, ReadiML enables accurate, individualized fatigue forecasts without the need for wearables, connectivity, or daily worker input through proprietary machine learning and AI models. This innovation dramatically expands the applicability of the Readi platform in privacy-sensitive, unionized, and hard-to-connect environments—such as underground mines, transportation fleets, and industrial shift work. With 88% of the predictive accuracy of wearable-based models, ReadiML represents a major advancement in scalable, proactive fatigue risk management.
Fatigue Science Customers in ARTW Customer Database
Leveraging a rigorous data-centric research methodology, APPS RUN THE WORLD asks the simple question: Who’s buying Fatigue Science applications and why? And we provide the answers – supported by decades of research – to our clients around the world. Our Customer database has over 100 data fields that detail company usage of Fatigue Science and other enterprise apps by function, customer size, industry, location, implementation status, partner involvement, Line of Business Key Stakeholders and IT decision makers contact details. List of Verified Fatigue Science Readi customers.
Fatigue Science Overview
Ownership: - x
Number of Employees: 40
Functional Market: Fatigue Management,
Key Verticals: Aerospace and Defense, Education, Government, Healthcare, Leisure and Hospitality, Oil Gas Chemicals, Transportation, Utility,
Fatigue Science Key Cloud and HCM Applications
Fatigue Science Readi
Fatigue Science HCM and Cloud HCM Applications Revenues, $M:
| Type/Year | 2023 | 2024 | YoY Growth, % |
|---|---|---|---|
| Total Revenues, $M | Subscribe | Subscribe | Subscribe |
| HCM Applications Revenues, $M | Subscribe | Subscribe | Subscribe |
* HCM Applications Revenues = License + Support & Maintenance + SaaS ( Hardware and Prof. Services are Excluded )
** All revenue figures are estimates based on public records, Cloud and Non-Cloud business models in Apps Run The World's vendor database, and annual survey results including vendor feedback.
Fatigue Science Revenue Breakdown by Type:
Fatigue Science HCM Applications Revenues By Sub-Functional Markets, $M:
Split by Sub-Functional Markets | % of HCM Revenue in the HR Segment | 2024 HCM Revenues, By HR Segment, $M | |
Fatigue Science HCM Applications Revenues By Verticals, $M:
Fatigue Science Total and HCM Applications Revenues by Region:
| Region | % of Total Revenues | 2024 Total Revenues, $M | 2024 HCM Applications Revenues, $M |
|---|---|---|---|
| Americas | Subscribe | Subscribe | Subscribe |
| EMEA | Subscribe | Subscribe | Subscribe |
| APAC | Subscribe | Subscribe | Subscribe |
| Total | Subscribe | Subscribe | Subscribe |
Fatigue Science Direct vs Indirect sales
| Type | Direct Sales | Indirect Sales | Total |
|---|---|---|---|
| Type % | Subscribe | Subscribe | Subscribe |
| Revenues, $M | Subscribe | Subscribe | Subscribe |
Fatigue Science Customers - Breakdown by Geo, Size, Vertical and Product
List of Verified Fatigue Science Customers
No. of Fatigue Science Customers: 100
No. of Fatigue Science HCM Applications Customers: 100
No. of Fatigue Science Cloud HCM Customers: x
No. of Fatigue Science Cloud HCM Subscribers: x
Fatigue Science has built a diverse customer base across multiple industries with high fatigue risk exposure, including mining, construction, transportation, defense, energy, and logistics. Its clients include industry leaders such as Caterpillar, Rio Tinto, Newmont, NB Power, Fresnillo, Minsur, and UPS, as well as BBMV in the construction and transportation sector. The U.S. Army and U.S. Air Force also utilize its solutions, underscoring the company's strategic role in military operations and workforce optimization. Additionally, elite sports organizations like the Seattle Seahawks, Dallas Mavericks, and Toronto Raptors rely on Fatigue Science to enhance athlete performance through data-driven insights that optimize recovery, reaction time, and decision-making during critical game moments. Customers use the company’s Readi platform to reduce lost-time incidents, meet union and safety compliance requirements, and improve operational performance
Fatigue Science Market Opportunities, M&A and Geo Expansions
Major growth opportunities include: Expansion into Fleet/Transporation as well as further penetration into US and Canadian markets. Growth in predictive safety demand in utilities and transportation. Partnerships with Mining technology providers and Fleet Systems. Increased regulatory and ESG focus on worker safety and performance. The fatigue management technology market size is expected to reach $65 million by 2028, compared with $50 million in 2023 at a compound annual growth rate of 5.2%
Fatigue Science Risks and Challenges
Long pilot cycles and complex sales processes in industrial verticals Resistance to adoption in unionized environments without change management. Competitive pressure from lagging indicator systems offering cheaper, less accurate alternatives
Fatigue Science Ecosystem, Partners, Resellers and SI
Fatigue Science integrates with multiple parts of the industrial tech stack: wearable devices (ReadiWatch, Fitbit, Garmin), time and attendance systems, dispatching tools, and ELDs. The company partners with Platform Science to integrate predictive fatigue risk insights directly into fleet management and telematics systems, enabling real-time decision support for commercial and industrial fleets. Fatigue Science also maintains a strategic relationship with Komatsu, working alongside them to enhance safety and productivity in autonomous and semi-autonomous mining operations through advanced fatigue forecasting. Additionally, Readi’s integration capabilities allow seamless embedding into safety workflows and scheduling systems, and the company contributes to broader AI research and regulatory frameworks around predictive safety.
Research Methodology
Data used in research reports are derived from publicly available documents, continuous surveys of applications vendors, customers, resellers, Independent Software Vendors, systems integrators and other verifiable sources.
Vendor shares and market forecast results are based on a combination of existing databases as well as demand side and supply side research conducted throughout the year with validation from vendors, customers, channel partners and documentations such as earnings releases and 10Q and 10K filings, vertical industry studies, regional and country-level statistics from public and private institutions(i.e. colleges, universities, government agencies and trade associations).
For additional information on our methodologies, here's the link:
https://www.appsruntheworld.com/taxonomy
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