Technology / Edge AI
The AI runs where the data is created - and stays there.
AiraSense brings NVIDIA Metropolis, DeepStream and NIM microservices onto Jetson Orin and IGX Orin at the site, so video analytics and inference run on-prem, under the operator's control.
The platform
A vision-AI stack engineered for the edge of the network.
On the same private network that carries the traffic, AiraGrid runs a full NVIDIA edge-AI stack - Metropolis and DeepStream for vision, NIM for governed inference microservices - on Jetson Orin and IGX Orin hardware sized for the site.
NVIDIA Metropolis
A vision-AI framework for building and deploying video analytics across cameras and sensors - the foundation for AiraSense applications.
DeepStream pipelines
Hardware-accelerated streaming analytics that turn live camera feeds into structured events in real time, on-site.
NIM microservices
Packaged inference microservices that deploy models as on-prem services on Kubernetes - versioned, governed and kept inside the customer perimeter.
Jetson Orin
Embedded AI from Orin Nano to AGX, delivering up to 275 TOPS on-device for terminals, AI cameras and on-vehicle compute.
IGX Orin
An industrial edge-AI platform with ASIL-D functional-safety readiness, ConnectX-7 200 Gb/s networking and a 10-year lifecycle for harsh, long-lived sites.
On-prem by default
Models, footage and inference stay on the customer premises on local Kubernetes - nothing leaves the site unless the operator chooses to send it.
What it does
From camera feed to action, without leaving the premises.
Because inference runs at the edge on up to 275 TOPS of on-device compute, applications respond in real time and sensitive footage never has to traverse the public internet.
Worker safety
PPE and exclusion-zone detection that flags hazards from existing camera feeds the moment they appear, without sending video off-site.
Visual inspection
Automated defect and quality detection on the line, running inference at the edge so throughput is not bottlenecked by a round trip to the cloud.
Predictive maintenance
Continuous analysis of equipment behaviour to surface anomalies before they become failures, keeping critical assets running.
Built to last
Functional safety and a decade-long lifecycle.
For the harshest, most safety-critical sites, IGX Orin brings ASIL-D functional-safety readiness and a 10-year supported lifecycle - so the edge-AI platform is dependable long after it is commissioned.
Bring a private network to your toughest site.
Talk to our team about a deployment built for your terrain, your spectrum and your operations.