Deployment Flexibility
Choose cloud or on-premise AI video analytics for your CCTV setup
CoCompanionAI supports simple cloud deployment for faster rollout and on-premise deployment for stronger internal control. Both work with existing CCTV and IP camera environments.
Cloud Deployment
Best when you want the fastest rollout, lighter infrastructure work, and easier expansion across multiple sites.
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1
Fast to launch
Launch on managed infrastructure without heavy on-site setup, so pilot projects can start sooner.
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2
Easy to maintain
Updates, improvements, and security changes are easier to roll out without extra internal maintenance work.
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3
Good for multi-site growth
Add sites, users, and workflows more easily as your deployment grows.
On-Premise Deployment
Best when your team needs tighter control over infrastructure, data handling, and internal review processes.
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1
Keep data in your environment
Video processing stays inside your infrastructure for stronger internal control and data ownership.
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2
Review changes internally
Updates and improvements can follow your team’s preferred approval and rollout process.
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3
Built for stricter environments
A better fit for teams that need private infrastructure, tighter boundaries, or more direct operational control.
Simple Comparison
Which deployment is right for you?
If you want the easiest launch, choose cloud. If you need tighter control over your infrastructure and data, choose on-premise.
| Factor | Cloud | On-Premise |
|---|---|---|
| Best for | Faster pilots and easier scaling | Private deployments and stricter control |
| Setup speed | Usually faster | Usually takes more planning |
| Data handling | Managed in cloud infrastructure | Stays inside your environment |
| Maintenance | Lighter internal maintenance | More internal ownership |
Industries
Where different deployment choices make sense
Different industries choose cloud or on-premise based on speed, privacy, and operational control.
Manufacturing
Factories often prefer stronger control over plant data and internal networks.
Example: A steel plant uses on-premise deployment for PPE detection, unsafe zone alerts, and shift-based incident review inside its own facility network.
Retail
Retail teams often want faster rollout across multiple stores with lighter setup.
Example: A retail chain uses cloud deployment for people counting, queue alerts, and store-level visibility across many locations.
Warehousing
Warehouse operations usually need fast alerts with a balance of scale and control.
Example: A logistics company uses AI video analytics to monitor dock activity, restricted areas, and vehicle movement across warehouse sites.
Attendance
Attendance workflows often need simple rollout, reliable daily visibility, and easy multi-location access.
Example: A company uses cloud or mixed deployment for face-based attendance tracking to mark entry and exit events across office locations.
Number Plate Detection
Vehicle monitoring workflows need clear capture, fast identification, and tighter control at entry points.
Example: A warehouse gate uses on-premise or mixed deployment for number plate detection to log vehicle entry, exit, and delivery movement automatically.
Need Help Choosing?
Start simple and scale later
Many teams start in the cloud for speed, then move to on-premise later if they need more control.
