Your crew is tired.
Now you can see it.
Wearable data. Shift context. Self-reported readiness. FatigueIQ turns fragmented signals into one operational picture — with privacy built into the architecture, not bolted on as policy.
The Problem
No department in America has a system for measuring crew fatigue.
24-hour shifts. Interrupted sleep. Mandatory overtime. Stacked tours without recovery. The fatigue compounds, and no one is measuring it. Staffing decisions happen without data. Return-to-duty calls happen without signal. The industry runs on self-report and hope.
Cardiac events remain the leading cause of on-duty firefighter deaths. Cumulative fatigue and disrupted recovery are contributing factors that go entirely untracked.
Fatigued crews show reduced situational awareness, slower reaction times, and higher rates of preventable errors on scene and on the road.
Standard shift patterns create chronic sleep disruption that compounds over weeks and months — invisible to leadership, corrosive to long-term health.
There is no operational fatigue readiness system in use in fire and EMS today. Departments are flying blind on crew readiness.
Why FatigueIQ
Not a wellness app.
Not another wearable score.
Other tools show you a number from a device. We interpret that number in operational context and route the right insight to the right surface.
Shift-context interpretation
A suppressed HRV after a 24 with 8 runs means something different than the same reading on a Kelly day. Context changes the signal. We model it.
Aggregate-only leadership view
Crew readiness trends. Coverage percentages. Alert queues. Leadership gets operational awareness without ever seeing individual health metrics.
Any device, one signal
Apple Watch, Garmin, Oura, WHOOP — your crew uses different devices. We normalize across all of them into one consistent readiness picture.
Privacy as architecture
Row-level database security. Separated data surfaces. Architectural guarantees — not policy promises that can be amended. Built to survive union scrutiny.
The Platform
Two surfaces. One system.
Same pipeline. Different views. Each surface shows exactly what that role needs and nothing more.
Your data. Your view. Your control.
Everything you see is yours alone. No one in your department can access your individual data.
Crew readiness. Not crew surveillance.
Aggregate readiness at a glance. No individual health data — by architecture, not by policy.
Privacy
Privacy architecture,
not policy promises.
Most platforms promise privacy in a terms-of-service document that can be amended. FatigueIQ enforces privacy in the database layer. The queries that would return individual health data to leadership are rejected before they execute.
Row-level security. Separated data surfaces. No admin override. No back door. The kind of privacy a union can audit and verify, not just read about in a PDF.
Leadership can see
Leadership cannot see
Vertical Focus
Built for fire and EMS.
Not repurposed from corporate wellness.
24/48 shift patterns
Fatigue accumulates differently in 24-hour cycles. We model it.
Call volume as load
Run volume and overnight disruptions create fatigue that step counters can’t capture.
Overtime distorts baselines
Kelly days, holdovers, and mandatory OT break standard scoring. Our engine accounts for schedule.
Union trust by design
IAFF and local dynamics require privacy-first architecture. We built for that from day one.
Device Support
Any wearable.
One readiness signal.
Your crew doesn't need matching hardware. FatigueIQ normalizes HRV, sleep, and recovery across all major wearable platforms into a single, consistent readiness picture.
Apple Watch
via HealthKit
Garmin
via Connect IQ
Oura
via Oura API
WHOOP
via WHOOP API
Manual entry and additional integrations available. No proprietary hardware required.
How It Works
From raw signal to operational readiness.
Connect
Members connect their existing wearable. No new hardware. No forced standardization.
Normalize
HRV, sleep, and recovery data ingested and normalized across device types into a common signal.
Contextualize
Shift schedules, call volume, and check-ins layered in. Raw data becomes operational context.
Illuminate
Members see their private readiness. Leadership sees aggregate crew insight. Same system, separated surfaces.
Will leadership see my health data?
No. Leadership sees aggregate crew readiness only. Individual HRV, sleep, and check-in data is architecturally separated at the database level. This isn’t a policy — it’s enforced by row-level security.
Do we need matching devices?
No. FatigueIQ works with Apple Watch, Garmin, Oura, and WHOOP. Your crew uses whatever they already own. We normalize across all of them.
Is this surveillance?
No. Leadership cannot see individual data. The ops dashboard shows aggregate readiness by shift and station — patterns, not people. The architecture enforces this.
How long does a pilot take?
30–60 days with one shift group (15–30 members). Onboarding takes about a week. We evaluate together and decide next steps.
Do we need union approval first?
Not necessarily. Many departments start the conversation in parallel. Our privacy architecture is designed to pass union scrutiny — we can help frame it.
Stop guessing who's ready.
FatigueIQ is running early pilots with forward-thinking fire and EMS departments. If your department is serious about fatigue readiness, we should talk.