Your cameras already see everything. Prahari makes them understand it.
AI that turns existing CCTV into a real-time sentinel — detecting intrusions and safety events at the edge and alerting in seconds. No new hardware, no facial recognition, footage never leaves your site.
One privacy-first intelligence — watching every camera you already own.
The problem
Hundreds of cameras. Nobody actually watching.
The universal failure across every campus, community and plant: cameras record, but no one watches hundreds of live feeds. Response only happens after a complaint — hours later, when the footage is only useful for forensics.
How it works
A cost-tiered cascade that runs on-site — only alerts leave.
Every camera runs through the same funnel on a small box at your site. Each stage strips out noise, so what reaches a human is verified and worth acting on — and the heavy AI barely runs.
Motion gate
~99% of frames stop here. An idle camera runs the AI zero times.
Detect + track
A fast model spots and tracks people, vehicles, and objects on-site.
Rules engine
Your rules — intrusion, tripwire, loitering, after-hours — per zone.
Nuisance filter
Per-camera learning of what's normal. False alarms fall week over week.
Instant alert
A plain-English alert with a clip reaches the guard's phone in seconds.
Point a small edge box at the RTSP streams you already have — no rip-and-replace, no new cameras.
Privacy is the product
Built the opposite way to the surveillance incumbents.
India's big platforms lean on facial recognition and haul video to the cloud — now a regulatory and reputational liability. Prahari is the contrarian bet: detect behaviours and events at the edge, not identities.
No facial recognition — ever
We detect behaviours and events, not identities. No biometric templates, sidestepping the heaviest DPDP obligations and the politics around FRT.
Footage stays on your premises
Detection runs on a box on-site. Continuous video never leaves; only short event clips and metadata sync out.
Tamper-evident audit log
Every alert and action is written to a hash-chained log — accreditation- and inspection-ready evidence.
Human-in-the-loop
Prahari flags; your team decides. We augment security staff, never replace them, and never auto-accuse.
Who it's for
One AI security layer, four kinds of site.
Campuses
Hostel & women's-safety perimeters, after-hours intrusion, anti-ragging hotspots. Auto-generated logs double as UGC / NAAC evidence.
Gated communities
Perimeter, tailgating at gates, visitor and vehicle anomalies — one alert layer across every RWA camera.
Industrial parks
Safety and loss-prevention across the plant — plus dispatch money-integrity at the weighbridge.
Districts & cities
A privacy-first analytics sub-layer that feeds an ICCC / command centre — via a system-integrator, not a rip-and-replace.
The vision
One privacy-first AI security layer — from a single campus to a nation.
The tiering never changes: heavy inference stays at the edge, only metadata and clips travel upward. Replicate the site tier, grow the command tier — with autonomous drones feeding the same single pane of glass.
See it run on your own cameras — start with a free safety audit.
We walk your zones, confirm which cameras are usable, and show an alert firing from your own feed in real time. No new hardware to buy.