



Security that understands, not just records.
The Problem
Traditional surveillance gives you footage — but no intelligence. Security teams spend hours reviewing recordings, missing critical events in real time. Ocliq changes the equation.
On-device AI detects threats, analyzes behavior, and alerts your team in real time — without sending a single frame to the cloud.

73%
of threats are missed by traditional CCTV
<100ms
on-device detection latency
0
cloud dependency
Workflow
No agents. No cloud dependency. No disruption to your existing setup.
01
Connect cameras or deploy edge sensors in minutes.
RTSP-compatible with all major IP camera brands. Ocliq Edge Sensors install in under 15 minutes and begin streaming immediately — no coding required.
02
AI models run on-device for instant, private processing.
Computer vision models run locally on the edge — no cloud roundtrips. Detect motion, crowd density, intrusions, and custom events at sub-100ms latency.
03
Instant alerts to dashboard, mobile, or your own systems.
Push notifications, in-app alerts, Slack, webhooks, or direct API integration. Every alert includes a timestamped clip and confidence score.
Differentiators
Not just surveillance. Proactive intelligence that works where your operation lives — on the edge.
Advanced models run directly on-camera or on a local gateway. No cloud roundtrips — faster decisions, lower bandwidth, zero connectivity dependency.
Act while it matters. Instant notifications via SMS, email, or webhooks the moment a threat is detected.
99.99% uptime with failover redundancy and offline caching — built for 24/7 mission-critical environments.
Process locally. Redact faces automatically. Your footage never leaves your site.
Use Cases
From single sites to global operations — Ocliq adapts to the environment, not the other way around.
Monitor lobbies, elevators, and perimeters in real time. Detect unauthorized access and receive instant alerts — across single buildings or entire portfolios.
Technical Deep-Dive
Our edge-native architecture processes frames in under 15ms. By the time a cloud camera uploads a clip, Ocliq has already detected the threat and triggered a response.
Processing happens on-device, eliminating round-trip cloud delays entirely.
Custom-tuned models reduce false positives by up to 94% vs. generic AI.
Triggers on-site alarms, door locks, or webhooks in the same processing cycle.
PROCESSING: 12ms
FPS: 30
MODEL: YOLOv8-NANO
CONFIDENCE: HIGH
<15ms
Inference time
94%
False positive reduction
YOLOv8-Nano
Model
99.99%
Uptime SLA
Social Proof
From enterprise campuses to global logistics — teams choose Ocliq when every second counts.
"Ocliq has completely transformed how we monitor our facilities. It's like having a security guard that never sleeps — and one that actually catches everything."
James Arora
Head of Security · TechSpace
"We cut incident response time from 45 minutes down to under 2. The edge inference means alerts are instant, not delayed by cloud latency."
Sara Chen
VP of Operations · Global Logistics
"Deployment across our 12-building campus took less than a day. The dashboard is clean, the alerts are precise — zero false noise."
David Mensah
Facilities Director · NextGen Campus
Our Mission
Ocliq was built to bridge the gap between passive surveillance and proactive intelligence. We believe security should be instant, private, and on your terms — not held hostage by cloud latency or third-party data policies.
To make intelligent video surveillance accessible to every organization — not just the ones with cloud budgets.
We build AI that runs at the edge — faster, cheaper, and more private than anything cloud-based.
Your footage belongs to you. We enforce privacy by design so data never leaves your premises.
2021
Founded
40+
Enterprise clients
500K+
Cameras monitored
12ms
Avg. inference time
The Story
Ocliq started in 2021 when our founders — coming from computer vision research and enterprise security — realized that 99% of camera footage was never reviewed. The problem wasn't a lack of cameras. It was a lack of intelligence.
We built our first edge inference prototype in a warehouse in Bangalore. Today, Ocliq monitors over half a million cameras across four continents — entirely on-device, entirely private.
Meet the teamRequest Early Access
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