New York City · Beta launching soon

Know before
you go.

Real-time ER and urgent care wait times — crowdsourced, trust-weighted, and updated by people who were just there.

Join the beta waitlist See the demo →
137M
US ER visits / year
2.6h
Avg ER wait time
0
PII ever stored
3
Data sources blended
How it works
01
You leave the ER
Canary detects you've exited a tracked facility after at least 5 minutes — and quietly asks how long you waited. No account. No signup. Just one tap.
Geofence trigger
02
Your report is verified
Every report is weighted by your contributor trust score — built from accuracy history and report volume. Outliers are flagged automatically before they affect anyone's decision.
Trust scoring
03
We blend three sources
Crowdsourced reports (70%) are combined with facility-scraped data (20%) and CMS public hospital baselines (10%) to produce a single confidence-scored estimate.
3-source pipeline
04
Others make better decisions
Someone nearby opens Canary, sees your facility is running 45 minutes, and chooses one 12 minutes away instead. That's the whole point.
Real-time
The data pipeline

Three sources.
One honest number.

No single source gets it right alone. We blend all three, weighted by reliability.

Crowdsourced reports
70%
Facility scrape
20%
CMS baseline
10%
Trust range
0.10 – 1.50
Every reporter starts at 0.10. Accuracy and volume push it up over time.
Outlier detection
z-score
Reports that deviate significantly from the day-of-week baseline are flagged before blending.
Confidence score
0 – 100
Based on recency, report count, and source diversity. Always shown alongside the estimate.
Beta · New York City · 2026

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know.

We're launching in NYC. Join the waitlist and we'll reach out when TestFlight access opens.

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Anonymous reports only · No PII stored · iOS first
FAQ

Questions.

How accurate are the wait times?
Accuracy depends on report volume — the more contributors at a facility, the tighter the estimate. Every displayed time includes a confidence score from 0–100 so you always know how much to trust it. During beta we'll be actively seeding data and recruiting reporters at target facilities to ensure useful signal from day one.
Is this really anonymous?
Yes. Canary uses a device token — a random identifier stored only on your device — and never asks for your name, email, or any personal information. No account is required to submit a report. We store no PII, ever.
How does the geofence trigger work?
Canary monitors a small radius around tracked facilities. When you've been near a facility for at least 5 minutes and then leave, the app sends a single prompt asking how long you waited. You can dismiss it instantly or disable geofence prompts entirely in settings. Location is used only to trigger the prompt — it's never uploaded or stored.
When is the app available?
We're targeting a TestFlight beta launch in NYC in 2026. If you join the waitlist above, we'll notify you directly when access opens. Android will follow shortly after the iOS beta.
Which facilities are tracked?
At launch we'll cover emergency rooms and urgent care centers across New York City, starting with the highest-volume facilities. The facility list will expand based on where our contributors are reporting from.
Can someone game the wait times?
The trust scoring system is specifically designed to prevent this. New reporters start with a low trust weight (0.10) that only increases with a track record of accurate reports. Outlier detection flags reports that deviate significantly from established baselines before they're blended into the estimate. A single bad actor has minimal impact on the final number.
What's the difference between ER and urgent care?
Canary tracks both. ERs handle life-threatening emergencies and are legally required to see everyone; wait times vary enormously. Urgent care centers are faster for non-emergency situations and don't require appointments. Canary shows both and lets you filter by type so you can make the right call for your situation.