About
Intelligence Built for the Real World
Unarvu AI develops practical, domain-specific intelligence for real operational environments. Working within the Cre8 IoT ecosystem, we combine artificial intelligence, IoT, edge computing and operational data to help organisations understand events, respond faster and make better decisions.
Cre8 IoT
Cre8 IoT is the technology vendor behind the Edge Vision Intelligence platform, responsible for the camera hardware and the infrastructure it runs on. As the technology partner, Cre8 IoT provides Tier 3 technical support, manufacturing and device maintenance, and the connectivity that keeps every camera online.
Unarvu AI
Unarvu AI is Cre8 IoT's dedicated AI division. It develops and maintains the vision models that run on every Edge Vision Intelligence camera, turning raw scenes into operational understanding.
Cre8 IoT and Unarvu AI provide the technology and vendor layer of a deployment. Fronting, installation, and tender bidding are handled separately by Service Integrator partners.
A. Our Purpose
Turning cameras into decision-making infrastructure
Our purpose is to give organisations a clearer, faster, and more consistent view of what is happening in the physical spaces they are responsible for — so people can respond to real conditions instead of waiting to review them after the fact.
B. What Makes Us Different
An edge-first approach to operational AI
Edge-first inference
Vision models run directly on the camera. Detection happens on-device, without relying on a constant cloud connection.
Built for real operating conditions
Models are developed for outdoor, variable-lighting, and long-running deployments — not just controlled lab conditions.
Domain-specific, not generic
Each model targets a specific operational use case, such as congestion, intrusion, or illegal dumping, rather than a one-size-fits-all detector.
Lightweight transmission
Only inference results are sent over the network, keeping bandwidth and connectivity requirements low.
Privacy-conscious processing
Processing events at the edge means less raw footage needs to leave the device to produce an operational insight.
One ecosystem, end to end
Hardware, connectivity, models, and support come from a single, accountable technology partner.
C. From Devices to Decisions
Sense, process, understand, act
Every deployment follows the same four-stage flow, from the camera's sensor to an operational decision.
Step 1
Sense
The camera continuously observes its assigned scene at the edge.
Step 2
Process
An on-device Unarvu AI model analyses the scene locally, in real time.
Step 3
Understand
The model classifies what it sees against the operational condition it was built to detect.
Step 4
Act
A structured event — not raw video — is sent onward, ready to trigger an alert or a dashboard update.
D. Cre8 IoT and Unarvu AI
One ecosystem, two roles
Cre8 IoT
Hardware, connectivity & support
Parent & Division
Unarvu AI
AI division of Cre8 IoT
Unarvu AI is Cre8 IoT's dedicated AI division — together they deliver the camera, the connectivity, and the intelligence running on it as a single, accountable technology partner.