Faisalabad, Punjab
1.8s alert
"Detected smoke from a faulty motor before our overnight shift had even reached it."
Operations Manager
AI Fire Detection
Turn your existing CCTV into an AI fire early-warning system. Zero hardware costs. Detection in under 3 seconds.
< 3s
Detection
99.52%
Accuracy
0
Hardware needed

Performance
average alert dispatch time
Measured across 10,247 detection events between 2025 Q4 and 2026 Q1. Methodology available on request.
WHY NIGAHBAN
00
Works with your existing CCTV cameras. No sensors, no installation, no rewiring. Just connect and protect.
01
Our proprietary AI engine detects fire and smoke in under 3 seconds, before traditional alarms even trigger.
02
Multi-layer AI verification eliminates false positives. Near-zero false alarms means real alerts, not noise.
Dashboard preview
CAM-01NORMAL
CAM-02ALERTSMOKE
CAM-03NORMAL
CAM-04NORMAL
CAM-05NORMAL
CAM-06NORMALHOW IT WORKS
Link your existing cameras via RTSP stream
Nigahban connects to your existing NVR/DVR
Proprietary AI engine analyzes every frame in real-time
WhatsApp, Email, Telegram alerts sent in seconds
THE CRISIS
30,000+
Fire incidents per year
Rescue 1122 / Geo News
73
Deaths in Gul Plaza fire, Jan 2026
Dawn News
94%
Karachi buildings non-compliant
Sindh Govt Audit
2.5M+
CCTV cameras in Punjab alone
PSCA / Radio Pakistan
WHO IT'S FOR
in Karachi alone
Textile mills, chemical plants, and manufacturing units, where fires cause the most damage.
major malls
High foot traffic, food courts, and multi-tenant spaces requiring 24/7 fire monitoring.
in Korangi zone
High-value inventory at risk overnight. One fire can destroy millions in goods.
across the city
Multi-story, multi-tenant buildings with shared fire risk and slow evacuation.
Outcomes
Anonymized results from active Nigahban deployments across Pakistan.
Faisalabad, Punjab
1.8s alert
"Detected smoke from a faulty motor before our overnight shift had even reached it."
Operations Manager
Karachi, Sindh
12 cameras in 4 days
"We were live across two warehouses inside a working week. Zero downtime."
Facility Lead
Lahore, Punjab
0 false alerts
"Our generator and oxygen rooms are now monitored without a single false positive in three months."
Hospital Security
Islamabad, Capital
5 sec response
"Kitchen flare caught in seconds. Staff received the alert before the smoke alarm even triggered."
Property Manager
Outcome data anonymized at customer request. Specific names available under NDA on request.
WHY US
| Feature | Traditional Alarm | International AI | Nigahban |
|---|---|---|---|
| Detection Time | 5-30 minutes | ~30 seconds | < 3 seconds |
| Hardware Required | Custom sensors | IP cameras | Existing CCTV |
| Annual Cost | PKR 500K+ install | $50K+/year | PKR 30K/year |
| Accuracy | ~70% | ~90% | 99.52% |
| Market Focus | Global | US/EU | Pakistan + MENA |
Onboarding
Most clients are protected by Friday of week one. No construction. No new hardware.
Sign your contract and define scope. Choose channel preferences.
We catalog every camera, test stream access, document positioning.
RTSP streams ingested, alert thresholds tuned, dashboard configured for your team.
First detection. Live alerts. Continuous monitoring 24/7.
Get Started
Join the first AI fire detection network in Pakistan. Free pilot for qualified buildings.