Sense · AI video forensic search
Netra
Search video like you search Google.
Find any person, vehicle or event across thousands of hours of footage using plain language, in seconds. It runs on your own GPU servers, with zero cloud dependency.
4 moments found across 2,184 hours of sample footage
Sample search. Frames are rendered from a model, not real footage.
Why Netra
Search video like you search Google.
- 01
Ask the way you’d ask a colleague.
When an incident happens, the answer is usually already on camera. Netra replaces hours of manual review with a plain-language search that returns the matching moments.
- 02
Footage never leaves your network.
State-of-the-art Vision-Language Models run on your own GPU servers, fully on-premise and air-gapped, with zero cloud dependency.
- 03
One platform, every high-stakes venue.
Proven with a major rail operator, and built to scale across airports, railways, metros, stadiums and malls.
How it works
From hours of footage to the right moment.
- 01
Connect
Bring in footage from your existing camera archives, inside your own network.
- 02
Index
Vision-Language Models process the video on your own GPU servers.
- 03
Ask
Investigators type what they are looking for in plain language.
- 04
Act
Review the matching moments and move straight into the investigation.
Where it fits
Where it fits.
- Railways & MetroStation security and incident investigation across large camera estates.→
- AirportsTrace people, vehicles and events across terminals, kerbside and airside footage.→
- StadiumsReview crowd incidents quickly across every gate and stand, without shipping footage offsite.
- MallsAnswer security and safety questions across shared spaces and entrances from one search box.
On your ground
Nothing leaves your network.
Your GPU servers
The models run on hardware you control.
Air-gapped
No internet connection needed, and no cloud dependency.
Your footage
Indexed and searched where it already lives.
See Netra on your own footage.
Talk to us about a demo inside your environment. Nothing needs to leave your network.