System status: operational
When weather stations fail, roads flood, and ground teams can't reach victims, Sentinel deploys autonomously to sense, detect, and deliver.
01 — The problem
$182.7B
In damage across the 27 billion-dollar disasters the U.S. recorded in 2024.
90% → <10%
Survival rates collapse after the first 72 hours of a disaster.
Weather stations go offline. Roads flood before supplies arrive. Ground teams can't reach victims. The first 72 hours are the window that matters most — and current response infrastructure fails in exactly that window.
02 — The system
Sense, detect, deliver — each validated independently, then flown as a single mission profile under SentinelOS.
02.1
An onboard weather sensor maps hyperlocal conditions — temperature, humidity, pressure — from inside the disaster zone, feeding SentinelOS to generate street-level risk maps for dispatchers.
<2% error
50% more spatially accurate than fixed weather stations
02.2
Computer vision trained on NOAA datasets identifies stranded survivors, smoke zones, and floodwaters, flagging each as a reviewable incident in the dispatcher queue.
89% recall
versus a 60% industry baseline
02.3
A servo-controlled release mechanism drops medicine, food, and communication kits within two feet of any coordinate, in winds up to 25 mph.
2 ft accuracy
90% success across 20 real-world drop tests
03 — SentinelOS
Every sensor reading and vision detection lands in one dispatcher console: street-level risk maps, flagged survivors as reviewable incidents, and a proposed drone route a human approves before the payload releases.
3 survivors flagged · rooftop
89% conf · 1.2 mi
Floodwater across FM-1844
Route blocked · reroute
Smoke zone expanding NE
Wind 21 mph · 240°
Supply drop requested
Med kit · 2 units
04 — Why Sentinel
Today a county that wants weather sensing, survivor detection, and supply delivery buys from three separate vendors — none of which do all three, and none under roughly $20,000 per unit. At ~$1,000 per unit, an agency can field 20 Sentinels for the cost of one traditional emergency drone.
Hyperlocal weather sensing
Operates inside the disaster zone
Survivor detection (CV)
Fully autonomous operation
Supply delivery
Extreme-weather capable
Cost per unit
05 — Market
Sentinel is built for U.S. emergency management agencies, fire and rescue departments, and disaster-relief NGOs. Initial go-to-market is the 200 highest-risk counties in Texas, Florida, and California, where disaster budgets are largest and grant funding already exists for this class of technology.
06 — Traction
Early interest
07 — Origin
Sentinel was founded after growing up with flooding in Texas firsthand — with a personal stake in making sure disaster response doesn't fail people in the first 72 hours the way it failed his neighborhood.
