See the incident before the headline does.
CORIZ watches social media, live video and public news feeds around the clock, reads what's actually happening with AI classification, and pushes a verified alert — before most people have scrolled past it.
Safety-critical events don't announce themselves on one channel. A fire starts as a comment thread under a livestream. A flood shows up on social media an hour before it's news. A demonstration gets tagged to an account nobody was watching.
Watching all of it by hand doesn't scale — and the gap between something happened and someone noticed is exactly where the risk lives. CORIZ closes that gap by treating every source as one continuously-read feed.
Three functions, one continuous loop.
CORIZ is named after what it does — each letter is a function the platform runs continuously, not a one-time check.
Continuous Observation
Dedicated monitors poll social platforms, live video and public news feeds on a rolling cycle that tightens automatically the moment an event looks like it's unfolding — not a fixed interval that misses the start of something.
Risk Identification
Every candidate post or livestream frame is read twice: a fast pass filters obvious noise, a deeper AI pass — vision reasoning on livestream frames, language evaluators on text — classifies what's actually there.
Zero-threat
Duplicate reports of the same event are merged across sources before anyone sees them twice, and a validation pass holds back anything too thin to act on — so what reaches you is worth acting on.
From raw post to verified alert.
Every candidate moves through the same four gates, whether it came from a livestream frame or a line of text.
Sources
Social accounts, live video search and public news feeds, polled continuously with cadence that tightens around live events.
AI reading pass
A fast keyword or visual gate, then a deeper pass — vision reasoning for livestream frames, language evaluators for text — assigns a category or drops the candidate.
Dedup & substance check
Cross-source semantic matching catches the same event reported twice; a substantiveness check holds back anything too thin to be worth a forward.
Instant delivery
A structured message — category, location, source, timestamp — lands in Telegram the moment a candidate clears every gate.
Three kinds of channel, read as one.
Monitors public posts and accounts directly, plus on-demand keyword search for events outside any fixed list.
Scans live streams for breaking-event signals and watches matching streams long enough to judge what's actually on screen.
Reads public feeds as they publish — the steady baseline layer underneath the social sources.
Every disruption that matters, covered.
From emergencies to everyday operational setbacks — the incidents that actually affect people and operations, read in full context instead of flagged on keywords alone.
Built for signal, not noise.
The parts that keep the alert volume low enough to actually read.
- Escalation-aware polling
Monitoring cadence increases automatically on the specific category and area an event is confirmed in, then decays back to baseline once it goes quiet.
- Two-stage classification
A cheap fast pass filters obvious non-events before anything reaches the slower, more deliberate deep-reasoning pass.
- Cross-source dedup
Semantic fingerprinting recognizes the same real-world event described differently across social media, live video and news feeds, and merges it into one alert.
- Forward validation
A final judge pass holds back anything that doesn't carry enough substance to be worth someone's attention.
- Telegram delivery
Alerts are pushed the moment they clear validation — no dashboard to refresh, no digest to wait for.
Not bound to one city.
The monitored accounts, keyword sets and language rules are configuration, not architecture. Point CORIZ at a new region and the same four-gate pipeline reads it the same way — continuously, in context, with noise filtered out before it reaches you.