Too many screens.
Attention runs out long before the footage does. The feed that mattered is rarely the one being watched.
Cameras that notice.
Who moved where.
What was left behind.
What needs a person.
Wherever the work is.
Hosted
Private cloud
On-premise
Edge
Air-gapped
Most footage is
recorded, not watched.
A few operators, dozens of feeds, and hours of video nobody has time to look at. Most of what matters is found afterwards, by someone scrubbing through a recording.
Found afterwards.
Incidents are pieced together hours later, from recordings someone has to find, copy and scrub through.
Rules no one can hold.
Dwell times, restricted zones, counts and routes are impossible to apply by eye across every camera, all day.
What the AI
can see.
The cameras you already have.
Thousands of frames.
One decision.
The AI doesn't point a large model at every frame. Each step uses the cheapest mechanism that can do the job, so it can run beside the cameras and hold up at volume.
Every frameSense
All cameras, all the time.
Motion gateRules & code
Still frames are dropped by a simple filter.
DetectionSpecialized model
A small model finds people, vehicles and objects.
Tracking & rulesRules & code
Tracks are joined; zones, dwell times and counts applied.
EventsCheck → Operate
Only what breaks a rule reaches a person.
Bag left unattended.
Owner has left the area.
Event E-0412 · CAM 03 · Concourse East. The AI flags. An operator decides, and the decision is kept with the clip.
14:01:36. Bag set down beside a bench by track ID 14.
14:01:37. Owner walks away. Dwell clock starts.
14:01:42. Owner leaves the concourse through Gate B.
14:01:49. Rule fires: object unattended for 12 seconds.
Illustrative example. Camera, times and rule are fictional; thresholds are shortened for the demo.
Built to watch
responsibly.
Video is sensitive. The AI is designed around that from the start.
-
Movement, not identity.
It tracks where people and objects go within a scene. No face recognition by default, and faces can be blurred before footage leaves the camera.
Security & trust -
Runs beside the cameras.
On edge devices, on-premise or fully air-gapped. Footage never has to leave the site.
Deployment options -
Every alert can be checked.
The clip, the track and the rule that fired travel with every event, so any decision can be reviewed later.
How Check works
Where it runs.
The AI goes to where the work is, from hosted to air-gapped.
A managed environment.
Start with a hosted service when speed of adoption and managed operations are priorities. Agree data handling, access and service requirements as part of the engagement.
Discuss hostedIn the cloud you use.
Deploy dedicated instances in your AWS, Azure, Google or Oracle account. Align the architecture with your cloud standards, operational responsibilities and integration requirements.
Discuss public cloudWithin your enterprise network.
Run it inside your own private cloud or VPC, with network access, storage and controls set around your boundary.
Discuss private cloudOn your infrastructure.
Run software, storage and local inference on your own servers. Plan capacity, integration, maintenance and support around the environment your team operates.
Discuss on-premiseClose to the operation.
Place intelligence near industrial sites and operational equipment, where latency and connectivity shape the design. Match the workload to the local compute available.
Discuss edgeWithout constant connectivity.
Operate local workflows without a continuous internet connection. Define how data is transferred, how updates are applied, and what must remain available offline.
Discuss offlineA physically isolated environment.
Plan for an installation with no external network connection. Local models, dependencies, data transfer and maintenance all become part of the deployment design.
Discuss air-gappedThe other capabilities.
Each one is tested on your own work before you rely on it.
Sense
It sees, hears and reads the work as it happens.
Explore Sense →Understand
From piles of paper to records you can use.
Explore Understand →Check
Every line compared. Only the gaps reach you.
Explore Check →Investigate
Follow the evidence across systems. Find out what happened, and why.
Explore Investigate →Anticipate
Know what comes next, and plan for it.
Explore Anticipate →Operate
The next step, taken. The reason, recorded.
Explore Operate →Bring us the work where wrong is expensive.
Start with the operational problem. We’ll work out the data, models and agents it needs, and where it should run.
Talk to us →LondonDiscovery AI Limited · United Kingdom
HyderabadReDscvry Technology Private Limited · India
ChennaiReDscvry Technology Private Limited · India