Use compatible existing cameras
Connect RTSP streams and discover supported cameras through ONVIF instead of beginning with a full hardware replacement.
Enterprise AI video monitoring
Add AI to your existing video system
Add event understanding, real-time alerts, and traceable evidence to compatible RTSP and ONVIF cameras. Local inference helps security, facilities, and operations teams keep the infrastructure they already trust.
- Measured scaling
- RTSP + ONVIF
- Local inference
- Auditable event history
No rip-and-replace project
Add an AI monitoring layer to the video system you already run
Enterprise camera systems already handle recording, retention, and playback. Tensor Dynamics Watch focuses on a different problem: continuously interpreting multiple feeds, organizing event context, and getting useful information to the right operator.
Begin with a small set of representative cameras. Validate stream reliability, event quality, alert workflow, and compute load before expanding the deployment.
Escalate meaningful events
Send critical-event context through supported chat and webhook integrations while ordinary activity remains in the event stream.
Preserve incident evidence
Keep append-only status events and optional critical snapshots for investigation, review, and operational follow-up.
Control the data boundary
Run inference and retain event data on customer-controlled hardware, with remote providers enabled only when required.
Deployment path
Start with a measurable enterprise pilot
01
Choose the site and events
02
Validate camera streams
03
Test the operator workflow
04
Expand from measured results
Enterprise use cases
One event layer for security, facilities, and operations
Warehouses and loading docks
Office and campus entrances
Manufacturing and safety zones
Public infrastructure and transport
Unstaffed areas after hours
Incident investigation and handoff
Enterprise controls, with clear deployment, access, and audit controls
We document local deployment, role controls, event auditability, and data boundaries—and clearly identify third-party certifications we do not currently claim. Procurement and security teams can evaluate the controls that actually exist.
Read the security and compliance statementFAQ
Enterprise CCTV questions
Does Tensor Dynamics Watch replace our VMS or NVR?
Not by default. Watch is an AI monitoring and event-intelligence layer. It can connect to compatible video streams while the existing recording system continues doing its job. Confirm the exact camera, recorder, and network path during a pilot.
Which enterprise CCTV cameras are compatible?
The current connection path uses RTSP video streams and supports ONVIF discovery for compatible cameras. Codec, credentials, network access, and the exact stream URL still matter, so compatibility should be verified with representative cameras before rollout.
Can the AI video analytics run locally?
Yes. Inference and event data can remain on customer-controlled hardware. Remote model providers are optional, allowing each deployment to choose its privacy, latency, and hardware tradeoffs.
How should an enterprise deployment start?
Start with a small, measurable pilot using representative cameras and clearly defined events. Validate stream reliability, alert quality, operator workflow, and hardware load before increasing the configured capacity; no universal maximum is claimed.
Validate enterprise AI monitoring on representative cameras
Confirm compatibility, event quality, data boundaries, and operator workflow before deciding how to scale.
Contact the enterprise team