The best AI video analytics software for existing cameras is the one that connects to the CCTV estate you already run, detects the events your teams act on, and routes them to people who verify and decide. In 2026, strong options include Kotelab, Spot AI, Ambient.ai, Coram, Lumana, Actuate, Eagle Eye Networks, Avigilon Unity and Milestone XProtect with BriefCam. Fit depends on your VMS, sites and workflows.
Disclosure: Kotelab publishes this guide, and Kote by Kotelab is one of the products listed. Every vendor description uses only what that vendor or reputable trade press stated publicly as of October 2026, and we do not rank on accuracy or speed claims.
Key takeaways
- "Works with existing cameras" means different things. Some tools are software layers over RTSP/ONVIF streams, some need a vendor appliance on site, and some are cloud VMS platforms with a bridge device for third-party cameras.
- Rank by fit, not by marketing numbers. Compatibility, deployment model, workflow and privacy posture matter more than any headline percentage.
- Your existing VMS is the biggest fork in the road. Committed to Milestone, Genetec or Avigilon? Start with analytics built for it. Running mixed estates? Look at camera-agnostic layers.
- Pilot on your worst cameras. Night scenes, long fence lines, rain and low-bandwidth sites expose differences faster than a demo.
- Keep humans accountable. Good AI CCTV software surfaces events with context; operators still verify, dispatch and own the decision.
What is AI video analytics for existing cameras?
AI video analytics is software that uses computer vision to detect people, vehicles, objects and behaviors in camera footage and turn them into events, alerts or searchable records. "For existing cameras" means it ingests streams from cameras or NVR/DVRs you already own. For a primer, see what AI video analytics is and how it works.
- RTSP (Real Time Streaming Protocol) is how a camera, NVR or DVR exposes a live stream to other software.
- ONVIF is an industry standard for interoperability between cameras and video software from different makers.
- VMS (video management system) is software that records, stores and displays video, such as Milestone XProtect or Genetec Security Center.
- Camera-agnostic video analytics is analytics not tied to one camera manufacturer.
How we evaluated these video analytics platforms
We did not test accuracy, latency or false-alarm reduction; verify those in your own pilot. We assessed each platform's public pages on eight fit criteria:
- Camera/VMS compatibility: Third-party IP cameras, RTSP/ONVIF, analog via encoders, or only through a specific VMS?
- Deployment model: Software-only, on-site appliance, cloud or hybrid.
- Detection breadth: Intrusion, restricted zones, loitering, vehicles, PPE, weapons, crowding, tampering.
- Search: Attribute filters, cross-camera or natural-language search.
- Alert workflow: How events reach people, with verification, escalation and dispatch.
- Multi-site: One view across locations, with role-based access.
- Privacy and security posture: Certifications, encryption, retention controls, trust documentation.
- Pricing transparency: Whether pricing structure is published.
The order is not a performance ranking. Kotelab is first because we publish the guide; the rest run roughly from "AI layer over any camera" to "VMS-centric analytics."
Best AI video analytics software compared: master table
- Kote by Kotelab. How it connects to existing cameras: IP cameras and RTSP-capable DVR/NVR streams; lists Hikvision, Dahua, Uniview, Axis, Bosch, Hanwha Vision, Sony, Avigilon; Deployment model (as stated): Ask during scoping; Search: Natural-language video search; Best fit: Multi-site operations wanting one intelligence layer over mixed estates.
- Spot AI. How it connects to existing cameras: Camera-agnostic for existing IP cameras, via its Intelligent Video Recorder; Deployment model (as stated): On-site recorder with edge AI plus cloud dashboard; Search: Cloud dashboard search; Iris conversational agent; Best fit: Businesses open to a Spot recorder per site.
- Ambient.ai. How it connects to existing cameras: Existing IP camera streams plus access control systems; Deployment model (as stated): Not stated on product page; Search: Accelerated video search; Best fit: Enterprise GSOCs with heavy access-control alarm volume.
- Coram. How it connects to existing cameras: Universal NVR via ONVIF, with RTSP fallback; Deployment model (as stated): On-site NVR plus cloud management; Search: Natural-language video search; Best fit: SMB and mid-market wanting a cloud VMS that keeps cameras.
- Lumana. How it connects to existing cameras: Any IP camera with RTSP or ONVIF, via Lumana Core GPU devices; Deployment model (as stated): Hybrid: edge processing, cloud for access and updates; Search: Investigations, custom search via event tags; Best fit: Enterprises wanting AI plus a new VMS layer.
- Actuate. How it connects to existing cameras: Integrates with dozens of VMS and monitoring platforms; Deployment model (as stated): Runs through your VMS or monitoring platform; Search: Not a focus; Best fit: Remote monitoring centers and integrators.
- Eagle Eye Networks. How it connects to existing cameras: 3,000+ listed IP, analog, HD-over-coax and body-worn cameras via Bridges/CMVRs; Deployment model (as stated): Cloud VMS; Search: Smart Video Search (natural language); Best fit: Organizations moving to a cloud VMS.
- Avigilon Unity (Motorola Solutions). How it connects to existing cameras: ONVIF-compliant devices; AI NVR 2 adds analytics to third-party cameras; Deployment model (as stated): AI NVR 2 appliance plus Unity Cloud Services; Search: Appearance Search; Best fit: Avigilon/Motorola estates.
- Milestone XProtect + BriefCam. How it connects to existing cameras: BriefCam integrates with VMS platforms including XProtect; Deployment model (as stated): On-premise analytics engine; Search: Plain-language search (new engine, early access); Best fit: Enterprises standardized on XProtect.
Sources for each row are cited in the vendor sections below.
The 9 best AI video analytics platforms for existing cameras in 2026
1. Kote by Kotelab
What it is: Kote is an intelligence layer that turns existing CCTV into real-time operations intelligence for security, safety and operations, positioned as "keep your cameras" (Kote platform overview).
How it handles existing cameras: Kote connects to existing IP cameras and RTSP-capable DVR/NVR streams. Kotelab lists compatibility with Hikvision, Dahua, Uniview, Axis, Bosch, Hanwha Vision, Sony and Avigilon cameras.
Standout capabilities:
- Continuous monitoring that surfaces configured events with context (site, zone, camera, time, clip) for human review.
- Named detections include restricted-zone entry, perimeter breach, after-hours activity, loitering, equipment tampering, cable tampering at chargers, unauthorized cabinet access, PPE monitoring, crowding and vehicles in restricted zones.
- Natural-language video search, for example "Was anyone near the north gate overnight?"
- Alert routing to teams, configured workflows, access-control correlation and multi-site visibility from one layer.
- Security posture stated on its site: AES-256 encryption, ISO 27001, SOC 2 Type 2 in progress, customer-configurable retention, and a Legal & Trust Center. Kotelab states it does not sell or use customer video for advertising.
Best fit: Multi-site operators in retail, energy, EV charging, transport, mining and logistics who want one layer across a mixed estate and care about operational events, not only security alarms.
Considerations: Kotelab does not publish pricing or deployment architecture on its site, so ask about edge versus cloud processing, bandwidth at remote sites, and SOC 2 timing. If you are weighing it against a camera-platform approach, read Kotelab vs Verkada and Kotelab vs Spot AI.
2. Spot AI
What it is: Spot AI is a video AI platform that positions existing cameras as AI agents for security, safety and operations, including an AI Security Guard and an AI Operations Assistant (Spot AI).
How it handles existing cameras: Spot AI says it is camera-agnostic and works with the IP cameras you already have. Its Intelligent Video Recorder provides local storage with on-edge AI processing (Spot AI).
Standout capabilities: A cloud dashboard for searching and resolving incidents, Iris for plain-language camera queries, and instant team alerts for suspicious activity. Spot AI states it is SOC 2 Type II, NDAA-compliant and HIPAA-aligned (Spot AI).
Best fit: Multi-site businesses comfortable installing a Spot recorder at each site, with both security and operations use cases.
Considerations: Plan for recorder hardware per location, and confirm how existing NVRs coexist with it.
3. Ambient.ai
What it is: Ambient.ai is a physical security platform focused on real-time threat detection and access-control alarm handling for enterprise security teams (Ambient.ai product page).
How it handles existing cameras: Ambient says it integrates with existing cameras and access control systems without rip-and-replace, and starts processing once it has access to IP camera streams. It shows compatibility with brands including Avigilon, Axis, Bosch, Genetec, Hanwha, Hikvision, Honeywell and Samsung (Ambient.ai).
Standout capabilities: 24/7 monitoring for threats such as fence jumping, tailgating and firearms; automatic validation of access-control alarms; and faster video search for investigations (Ambient.ai).
Best fit: Large enterprise and corporate campus GSOCs where access-control alarm volume is a daily burden.
Considerations: The product page does not describe deployment architecture or operational (non-security) use cases, so ask.
4. Coram
What it is: Coram is a cloud video security system that also sells its own cameras, positioned as an alternative to closed camera ecosystems (Coram vs Verkada).
How it handles existing cameras: Coram's Universal NVR discovers cameras via ONVIF and falls back to ingesting RTSP stream URLs. The on-site appliance records and analyzes locally, keeps recording if the internet drops, and syncs metadata to the cloud when connectivity returns (Coram, June 2025).
Standout capabilities: Natural-language video search, weapon detection, slip-and-fall detection, license plate reading and cross-camera person tracking; Coram states SOC 2 Type II and NDAA compliance (Coram).
Best fit: SMB and mid-market organizations (schools, healthcare, single-region multi-site) that want a cloud VMS with built-in AI while keeping cameras.
Considerations: Coram replaces your recording layer with its NVR. Its comparison page does not publish prices, so request a full quote including appliances.
5. Lumana
What it is: Lumana is an AI video security system that adds AI agents to IP cameras and includes VMS+, a central control center for locations, cameras and users (Lumana platform overview).
How it handles existing cameras: Lumana says it is camera-agnostic and works with any IP camera that supports RTSP or ONVIF. Lumana Core edge devices with GPUs process video and record locally (Lumana).
Standout capabilities: Hybrid design where most processing stays local and only thumbnails and encrypted metadata go to the cloud; real-time alerts with verification, deterrence and dispatch; access control and sensor integrations (Lumana).
Best fit: Enterprises modernizing analytics and video management in one move, with local processing for bandwidth-sensitive sites.
Considerations: Lumana adds its own on-site hardware; clarify coexistence with an incumbent VMS during migration.
6. Actuate
What it is: Actuate is AI video analytics sold through security integrators, aimed at detecting intruders, guns and other events and filtering nuisance alarms (Actuate pricing).
How it handles existing cameras: Actuate integrates with a long list of VMS and monitoring platforms, including Milestone, Genetec, Avigilon, Eagle Eye Networks, Network Optix, Immix and SureView (Actuate partners).
Standout capabilities: Per-camera subscription tiers with analytics including intruder, loitering, line crossing, crowd, gun, slip-and-fall, fire and PPE, plus a camera health add-on for blur, tilt and obstruction (Actuate pricing).
Best fit: Remote video monitoring centers and integrators who want analytics inside the monitoring tools they already run.
Considerations: Purchasing typically goes through an integrator, and the pricing page shows no dollar amounts. Search and multi-site dashboards are not its focus.
7. Eagle Eye Networks
What it is: Eagle Eye Networks is a cloud VMS provider that includes AI features such as Smart Video Search (Eagle Eye Smart Video Search).
How it handles existing cameras: Eagle Eye lists compatibility with more than 3,000 digital IP, analog, HD-over-coax and body-worn cameras. Analog cameras connect through Bridges and CMVRs, and unlisted cameras require a support request (Eagle Eye camera compatibility).
Standout capabilities: Smart Video Search lets users describe a person, vehicle or object in plain language and search across cameras and sites, included with the Cloud VMS (Eagle Eye).
Best fit: Organizations ready to move recording to a cloud VMS while keeping much of their camera estate.
Considerations: This is a VMS change, not an analytics add-on. Check cameras and firmware against the device list.
8. Avigilon Unity (Motorola Solutions)
What it is: Avigilon Unity Video is Motorola Solutions' video management software, paired with Unity Cloud Services for remote management (Avigilon AI NVR 2).
How it handles existing cameras: Avigilon says Unity Video is compatible with any ONVIF-compliant device (Avigilon supported cameras). The AI NVR 2 appliance adds analytics to non-analytic and third-party cameras, including Appearance Search, license plate recognition and, in the US only, visible firearm detection, and supports up to 400 cameras (Avigilon AI NVR 2).
Best fit: Organizations already standardized on Avigilon or Motorola Solutions.
Considerations: Third-party camera analytics depend on buying the AI NVR 2. Ask which analytics run on which camera models.
9. Milestone XProtect with BriefCam
What it is: Milestone XProtect is an open-platform VMS, and BriefCam is Milestone's video analytics product. Milestone has been part of the Canon Group since 2014 (Milestone, March 2026). Trade press reported in March 2024 that Canon consolidated BriefCam into Milestone (IPVM).
How it handles existing cameras: BriefCam integrates with VMS platforms including XProtect and says it works with the cameras you already have; some variants also process file-based video (Milestone BriefCam).
Standout capabilities: Video Synopsis for condensing hours of footage, cross-camera and appearance-similarity search, and rule-based alerts (Milestone BriefCam). In March 2026 Milestone announced a new on-premise BriefCam engine with plain-language search and an XProtect App Platform, in early access with general availability planned for late 2026 (Milestone).
Best fit: Large enterprises, cities and critical sites already running XProtect, especially those needing on-premise processing.
Considerations: Strongest inside a Milestone estate. Confirm which features are generally available versus early access at the time you buy.
Also consider: camera platforms with a bridge for existing cameras
These offer a migration path into their own ecosystems rather than a pure analytics layer:
- Verkada Command Connector connects non-Verkada cameras to Verkada Command. Verkada's own page notes AI-powered search has limited support on third-party channels and some analytics may not be available on all channels (Verkada Command Connector). It was announced in August 2024 (Security Journal Americas).
- Rhombus Relay integrates third-party cameras with the Rhombus platform, and cameras connected through Relay Core can use Rhombus AI Analytics (Rhombus, March 2025).
- Genetec Security Center SaaS runs fully in the cloud or in a hybrid setup, connects non-cloud-ready cameras via Genetec appliances, and supports analytics from multiple vendors (IT Brief Australia, June 2025).
Which AI video analytics software fits your situation?
Multi-site retail
Loss prevention teams need consistent events across many stores with mixed NVRs, plus fast search when an incident report arrives days later. Prioritize camera-agnostic ingestion, natural-language search and per-store access. Kotelab, Spot AI and Coram fit here; see Kotelab's retail use cases.
Critical infrastructure and energy
Substations and transformer yards face perimeter breach and copper theft at unstaffed, often low-bandwidth sites. Prioritize perimeter and after-hours detection and verification workflows that reach a control room. Consider Kotelab (energy), Lumana for local processing, and Milestone/BriefCam or Genetec where a central VMS is mandated. Our real-time threat detection guide includes a deployment checklist.
Mining and remote sites
Mines need exclusion zone monitoring, light vehicle/heavy vehicle interaction alerts on haul roads, and PPE checks, often over constrained links. Ask every vendor what still works when bandwidth drops. Kotelab's homepage shows a "Haul road: vehicle in restricted zone" scenario; see our guide to AI video monitoring for mining sites.
Enterprise with an existing VMS
If your GSOC lives inside Milestone, Genetec or Avigilon, start with BriefCam, Genetec's analytics ecosystem or Avigilon AI NVR 2. For an operations layer across several VMSs or acquired sites, an independent layer such as Kotelab, or Ambient.ai for access-control-heavy GSOCs, can sit alongside.
SMB and single-region operators
Smaller teams often prefer simpler cloud tools such as Coram, Eagle Eye Networks and Spot AI. Warehouses and DCs should also see our warehouse loading dock monitoring guide, and CPOs and transport hubs Kotelab's EV charging and transport pages.
Questions to ask in a demo or pilot
Use this checklist with every vendor, including us:
- Compatibility: Do you support our exact cameras, NVR/DVRs and VMS? What needs new hardware?
- Deployment: Where does inference run? How much bandwidth per site, and what happens during an outage?
- Detections: Which of our priority events are available today, and which are roadmap?
- Night and weather: Can we pilot on our worst cameras (night, rain, glare, long fences)?
- Alert workflow: How do alerts reach our GSOC or site leads, with escalation and acknowledgment?
- Verification: What context (clip, zone, camera, time) arrives with an alert?
- Search: Can we search across sites in plain language, and how far back?
- Evidence: How are incident clips exported, and how is chain of custody preserved?
- Security and privacy: Which certifications are complete versus in progress? Who can access our video? Can we set retention per site?
- Pricing: Per camera, site or appliance? What are add-ons?
- Pilot success criteria: Which metrics will we agree on before the pilot starts?
Frequently asked questions
What is the best AI video analytics software for existing cameras?
It depends on your camera estate, VMS and use cases. Camera-agnostic options like Kotelab, Spot AI, Lumana and Coram suit mixed estates, while BriefCam and Avigilon AI NVR 2 suit Milestone or Avigilon shops. Shortlist three and pilot on your hardest cameras.
Can I add AI to my existing security cameras without replacing them?
Usually, yes. Many platforms ingest RTSP or ONVIF streams from IP cameras and NVR/DVRs, and some support analog cameras through bridge devices. Low-resolution legacy cameras limit what any model can detect, so check minimum specs.
What is the difference between a VMS and AI video analytics software?
A VMS records, stores and displays video. AI video analytics interprets that video to detect events, generate alerts and enable search. Some products combine both, while others add analytics on top of the VMS you already run.
Do AI video analytics platforms need new hardware?
It varies. Spot AI, Coram, Lumana and Avigilon AI NVR 2 use an on-site recorder or appliance; others integrate through existing VMS platforms. Ask each vendor for a per-site bill of materials.
How should I compare vendor accuracy claims?
Treat published accuracy and false-alarm figures as vendor claims measured under vendor conditions. Agree on success criteria before a pilot, run it on your own cameras, and measure verified events, missed events and operator time.
Is natural-language video search worth it?
For teams investigating incidents across many cameras and sites, it can cut time spent scrubbing footage. Test it with your operators' real questions, such as "white van at the north gate last night."
Does AI video analytics replace security officers or operators?
No. It surfaces events with context, while people verify, decide on dispatch and remain accountable.
See Kote on your own cameras
Start your shortlist with your camera estate and the events that cost you most. Kotelab defines the operational need (zones, events, owners), reviews your existing cameras, then configures and evaluates with your operators. Book a scoping call with Kotelab to see Kote on your feeds.