90% of Near-Misses Go Unreported
Voice-first reporting captures near-misses in 60 seconds. AI categorizes severity, detects patterns, and alerts supervisors before close calls become real incidents.
The Near-Miss Reporting Problem
Why the most important safety data never makes it into your system
Forms are too complex to fill in the field
A 15-minute paper form after every close call? Workers skip it. The incident disappears from your data — and the hazard stays on-site.
Workers fear retaliation for reporting
A culture of silence means the most dangerous hazards never surface. Workers stay quiet because reporting feels like pointing a finger at themselves.
Near-misses aren't tracked as a leading indicator
Most safety software only tracks recordable incidents — reactive, not proactive. By the time you see the data, someone is already hurt.
No pattern detection across incidents
The same scaffold trip hazard gets reported three times in different words. Without AI, nobody connects the dots — and the same hazard repeats.
How POD Works
Speak the Incident in 60 Seconds
Worker taps the mic, describes what happened — "scaffold plank loose on level 3, almost fell" — and POD captures it instantly.
AI Categorizes Severity and Type
POD classifies the near-miss by hazard category (fall, struck-by, electrical, etc.), severity level, location, and trade involved.
Patterns Detected, Supervisors Alerted
AI connects this report to similar incidents. Supervisor gets a real-time notification: "3rd scaffold near-miss this week on level 3."
The POD Advantage
Remove the barriers, capture the data, prevent the accidents
Voice reporting removes the barrier
Workers speak the incident in 60 seconds from the field. No forms, no desk, no delay. Reports happen while the memory is fresh.
Anonymous reporting option builds trust
Workers can report without their name attached. When fear of retaliation disappears, near-miss capture rates skyrocket.
AI trend detection catches patterns
POD's Safety Watchdog AI connects near-misses across trades, locations, and time. Recurring hazards surface before they cause injuries.
Real-time supervisor alerts prevent escalation
When a near-miss is reported, supervisors get an instant alert with severity classification. They can intervene before it becomes an accident.
Near-Miss Velocity KPI
This is what your dashboard looks like. More captures trending up means your site is getting safer.
Near-miss velocity increased 350% since January. More captures = better hazard identification = fewer actual incidents. Heinrich ratio: 300 near-misses predict 1 serious injury.
Does Your Software Do This?
Most safety software tracks recordable incidents after they happen. POD tracks near-misses as they are reported -- in real-time, by voice, from the field. More captured near-misses means fewer actual incidents. That curve going up? That is your site getting safer.
Calculate Your Savings
How much could your team save by preventing incidents with better near-miss capture?
“Our near-miss capture rate went from 2 per month to 18. We caught a recurring fall hazard pattern that would have seriously injured someone within weeks. POD turned our workers into safety sensors.”
— Safety Director, National Electrical Contractor
Every KPI From a 5-Minute Voice Report
POD tracks hundreds of KPIs from a 5-minute voice report. Here are just 2 of them.
Schedule & Budget Performance
Momentum Score
PODThese update in real time from a 5-minute voice report. No spreadsheets. No data entry.
Frequently Asked Questions
Ready to Capture Every Near-Miss?
See how Near-Miss Velocity turns leading indicators into prevented incidents.
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