Fatigue Science Technology Partner
Platform Science
- Partnering to keep your fleet alert, safe and on schedule.
- Predict fatigue risk. Prevent incidents. Drive productivity.
- Driver fatigue insights that enable proactive scheduling, smarter dispatching and stronger safety outcomes.
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Readi + Platform Science
- Personalized predictive fatigue scores combining sleep and HOS data
- Seamless integration with the Platform Science dashboard.
- Actionable alerts for dispatchers and operations teams.
- Fatigue risk analytics – Dive into trends, events (microsleeps, harsh braking), and schedule impacts.
- Non-invasive & privacy-safe – No wearables. No driver cameras required. Trust built in.
Integration Highlights
How the Readi fatigue risk management platform works within Platform Science
- Connect your fleet data (HOS, telematics) to Readi via Platform Science.
- Readi processes your fleet data and generates hourly fatigue-risk forecasts for each driver
- Easily configure fatigue thresholds by role, region or driver cohort
- Dispatchers and fleet managers use the Platform Science dashboard to view risk scores, heat-maps and alerts.
- Action: adjust schedules, intervene early, or implement counter-measures (e.g., rest breaks, alternate routes).
- Monitor impact: analytics dashboards reveal how fatigue-risk correlates with safety events and performance improvements.
FAQ
How does Readi work?
Readi analyzes a combination of rest patterns, Hours-of-Service data, and circadian science to predict each driver’s fatigue risk up to 18 hours into the future.
This forecast appears inside your Platform Science dashboard so supervisors and dispatchers can:
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Identify high-risk shifts
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Adjust assignments or routing
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Intervene early with rest or countermeasures
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Reduce the likelihood of fatigue-linked incidents
No wearables. No new hardware. No driver self-reporting.
How does predictive fatigue management enhance reactive tools?
Predictive fatigue management like Readi adds an additional proactive safety layer to reactive tools, so you can prevent incidents instead of reacting to them after the fact.
Predictive fatigue management complements reactive tools like in-cab cameras because it is:
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Proactive — Highlights risk before the driver begins a high-risk window
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Data-driven — Uses scientifically validated sleep-history modeling + HOS
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Operationally friendly — Designed for dispatchers and fleet ops, not just drivers
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High-trust — Focuses on risk forecasting, not monitoring behavior
What key capabilities does Readi add inside Platform Science?
ReadiScore Forecast (18 hours ahead)
Accurate fatigue-risk prediction for every driver, shift, or assignment.
Personalized fatigue insights
Each score reflects the driver’s unique rest history + sleep opportunity.
Real-time alerts for dispatchers & supervisors
Notifications flag upcoming high-risk windows before they cause safety events.
Lightweight, frictionless rollout
No hardware. No wearables. No change to the truck.
Fatigue analytics for safety teams
Trend insights show when and where fatigue risk climbs and how interventions improve outcomes
What benefits does Readi offer my fleet?
Fleets using predictive fatigue management typically see improvements across safety, retention, and operational performance.
Key benefits:
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Reduce fatigue-related incidents & near-misses
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Optimize schedules & dispatch decisions
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Improve on-time performance for risk-exposed routes
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Strengthen driver wellbeing and retention
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Lower operational cost & risk exposure
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Support compliance & safety program requirements (FRMS, audits, insurance)
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Build a safety culture by acknowledging fatigue
Does Readi require new hardware or cameras?
No. Readi is completely non-intrusive and requires no in-cab devices, wearables, or cameras. All insights are delivered through your existing Platform Science environment.
How do fleets get started?
Connect your HOS data → Enable Readi inside Platform Science → Start visualizing and acting on predictive fatigue risk. Support is included for onboarding and configuration.