Plan your rollout
TCO comparison
Is it cheaper to add AI to your cameras or to replace them?
Compare adding intelligence to the cameras you own against replacing them with new AI cameras, using your own quotes.
Your camera estate
The cameras you already own, and how long to compare over.
Replacing the cameras
What swapping every camera for a new AI camera would cost. Use your vendor quotes.
Retrofitting with Camnitive
On the cameras you own: 17 FloFrame appliances, at about 12 cameras each.
5-year total cost of ownership
$167,500 saved
Retrofitting costs 39% less than replacing your cameras.
- Retrofit with Camnitive(lowest)$262,500
- Replace with AI cameras$430,000
| Year | Retrofit | Replace |
|---|---|---|
| 0 | $82,500 | $310,000 |
| 1 | $118,500 | $334,000 |
| 2 | $154,500 | $358,000 |
| 3 | $190,500 | $382,000 |
| 4 | $226,500 | $406,000 |
| 5 | $262,500 | $430,000 |
The line items
Retrofit
- FloFrame appliances (17 × RTX 4070-class)
- $77k
- Site setup & camera onboarding (4 sites)
- $6k
- Camera subscription (per camera)
- $36k a year
Replace
- New AI cameras (200 units)
- $240k
- Installation, cabling & commissioning
- $50k
- VMS / NVR upgrade (4 sites)
- $12k
- Operational disruption during swap-out
- $8k
- Cloud analytics subscription (per camera)
- $24k a year
What this comparison leaves out
- Downtime avoided: a retrofit adds intelligence without taking a camera offline. A swap-out leaves zones dark for days per site.
- Your VMS stays: recording, retention and operator workflows are untouched. Replacement usually forces a VMS migration on top.
- AI cameras tie the intelligence to the hardware, so new use cases mean new cameras. A retrofit upgrades in software on the same estate.
Get a validated TCO model
We build the model with your real quotes and camera inventory, and walk you through it.
Planning estimates in USD for the camera subscription. Comply and Improve are priced per site, and full on-premises separately.
See it on your own cameras.
A demo on your use cases, or a pilot with success criteria agreed up front.