Practical edge AI deployments for Indian organisations — factories, warehouses, offices, campuses, stores, hotels, hospitals and institutions. Different environments, one approach: AI that runs locally.
Production lines generate thousands of decision points every hour. Edge AI runs vision and sensor models right beside the line, so quality and safety signals arrive in milliseconds — even when the plant's internet link is down.
Line-side inference
In-store · processed on-siteStores run on thin margins and fast decisions. Edge AI analyses existing CCTV streams on-site to measure footfall, queues and shelf activity — without uploading customer video to an external cloud.
Warehouses mix people, forklifts and inventory around the clock. Local AI gives operations teams a live picture of dock activity, safety events and stock movement — straight from the cameras and systems already on site.
Dock to dispatchHospitals are sensitive environments with large camera networks and round-the-clock operations. Edge AI keeps facility analytics and security video inside the campus network — with privacy-first defaults from day one.
CCTV · BMS · access control
Inside hospital or campus premises
On-premise inference infrastructure
Waiting areas · entrances · parking
Cameras · assets · utilities
Only where policy allows
Analysed on the office network. Facial recognition is not enabled by default.
Offices already run cameras, access control and building systems. Edge AI turns them into live occupancy, space and security signals — processed on the office network instead of a remote cloud.
Hotels balance guest experience with tight operational control. Edge AI works behind the scenes — analysing guest flow, monitoring facilities and back-of-house safety — while footage stays on the property.
One appliance can serve guest areas and back-of-house cameras — sized per property, from a single boutique hotel to a multi-tower campus.
Campuses run large camera networks across gates, hostels, labs and transport. Edge AI analyses them on campus — with student and staff video governed by the institution, not an external platform.
Modern buildings already produce a constant stream of sensor and camera data. Edge AI interprets it locally — occupancy, energy patterns and facility health — so the building responds in real time, not after a cloud round-trip.
Security teams monitor dozens or hundreds of cameras. Edge AI processes every stream locally, surfacing intrusions and restricted-area events in real time — and the footage never has to leave the site to be analysed.
Security deployments ship with conservative defaults: analytics focused on safety and operations, alerts routed to your own SOC, and sensitive functions switched off unless you explicitly ask for them.
Facial recognition is not enabled by default — and can stay disabled entirely.
Entire fleet, on LAN
Streams stay on-site
Local inference per stream
Alerts · review · response
Analysed locally — footage doesn't need to leave the premises
Remote management and rugged form-factor options for unstaffed or harsh sites.
Network sites are only as smart as the compute you place there. Edge AI brings inference to cell sites, exchanges and customer premises — for network operations AI, site monitoring and data-local workloads.
Tell us what you want AI to analyse on-site — cameras, machines, sensors or another workload — and we'll help map the infrastructure.