Every AI surveillance company has a prerequisite chain. Nine of ten have four to six links. One has one.
The top listicles for “AI surveillance companies” are feature charts. They line up vendors next to columns for face recognition, analytics, and dashboards, then tell you who wins on points. That chart is not wrong, but it is downstream of the question that actually decides whether a vendor will ever turn on at your property: what does the vendor need from you before their software can ingest a single frame. This page publishes that chain for the ten companies buyers most often compare.
See the one-item chain on a live DVRThe chain, not the features, decides who can install
The SERP for “AI surveillance companies” is dominated by listicles: Coram's 11 Best, Memories.ai's 11 Best, MarketsandMarkets, International Security Journal, Kanerika, G2's alternatives pages. All of them sort vendors on feature grids (face recognition, analytics, integrations, dashboard). Every vendor looks roughly the same on those grids, so buyers pick by brand recognition, sales rep energy, or whichever demo happened last.
Three weeks into the resulting sales cycle, the deployment stalls on something that was never on the feature chart. A camera does not expose RTSP. A DVR model is not on the compatibility list. The property uplink cannot sustain 25 simultaneous cloud uploads. A credential for an analog DVR from 2015 was never written down. The vendor quote was right; the property was the wrong shape for the vendor.
Every AI surveillance company has a prerequisite chain, and every link in that chain is a failure mode. A short chain is not a feature; it is the thing that decides whether a vendor can be installed at all.
How each AI surveillance company gets your video
Every vendor has to move pixels from the property to an inference pipeline. Five ingest paths are available. Four of them run through the property LAN and require camera-level cooperation. One runs through the HDMI port that is already live.
Ingest paths into an AI surveillance company's inference pipeline
The prerequisite chain for ten AI surveillance companies buyers compare
These are the chains reconstructed from public vendor documentation, install guides, compatibility matrices, and deployment write-ups as of April 2026. Not a feature ranking; a list of what your property has to provide for the vendor's inference pipeline to ingest a single frame.
Verkada
Chain: Verkada first-party IP cameras on every camera position, Verkada cloud recorder or edge device, a network segment Verkada can reach, a per-camera annual license. Existing cameras are not reused. Install requires a licensed low-voltage contractor.
Rhombus
Chain: Rhombus first-party IP cameras or a Rhombus Relay bridge for third-party cameras, a Rhombus subscription per device, network with outbound HTTPS to Rhombus cloud. Third-party cameras go through the Relay, which itself has a compatibility list.
Coram AI
Chain: Coram first-party cameras or certified IP cameras on Coram's compatibility list, a Coram NVR or cloud gateway, per-camera cloud subscription, outbound bandwidth for continuous upload, IT-provisioned VLAN.
Lumana
Chain: Lumana AI cameras or Lumana Bridge for IP cameras, per-camera subscription, outbound cloud bandwidth, a network segment the Lumana controller can reach. Analog cameras are not in scope.
Spot AI
Chain: Spot AI Video Intelligence appliance on-premise, supported IP cameras (ONVIF profile S), per-camera license, outbound cloud for the management plane. The appliance has a published camera compatibility list.
Eagle Eye Networks
Chain: Eagle Eye Bridge (on-prem), any ONVIF-compatible IP camera or supported analog with encoder, per-camera cloud subscription, outbound bandwidth proportional to stream retention tier.
Cloudastructure
Chain: existing IP cameras that expose RTSP or ONVIF with valid credentials, per-camera cloud subscription, outbound bandwidth to upload every camera 24/7, an NVR reachable by the Cloudastructure bridge.
Scylla
Chain: RTSP-accessible IP cameras with credentials, a compute appliance (either Scylla's or a certified GPU host), network with outbound HTTPS to Scylla control plane, per-camera subscription.
Deep Sentinel
Chain: Deep Sentinel first-party cameras with speakers for live talkdown, a Deep Sentinel hub on the property LAN, 24/7 live-guard subscription per site. Existing cameras are not reused.
Cyrano
Chain: one HDMI cable from the DVR or NVR's monitor output. That is the chain. No RTSP, no ONVIF, no credentials, no cloud upload, no camera replacement, no contractor. Works on any DVR brand driving a guard monitor.
The anchor: the one-item chain, in terminal form
This is what the install looks like on a running DVR with the guard monitor plugged in and live. Five physical steps, no downtime to the guard view. Everything the Cyrano prerequisite chain requires is represented here. Nothing else is assumed about the property.
Chain length, side by side
A narrower comparison than the BentoGrid above: one of the most feature-complete vendors on the market (a first-party cloud smart camera stack) against the one-item adapter shape. Every row is a prerequisite. Every row is something that has to be true at the property before inference runs.
Prerequisite chain: Cyrano vs a first-party cloud smart camera vendor
Same SERP bucket. Two very different install realities.
| Feature | Typical cloud smart camera vendor | Cyrano (HDMI adapter) |
|---|---|---|
| Existing cameras reused | No. Replaced with first-party cameras. | Yes. Any brand, analog or IP. |
| Existing DVR reused | No. Replaced with cloud recorder. | Yes. Whatever is on the wall. |
| RTSP required on every camera | Often (for third-party camera bridges) | No |
| ONVIF profile required | Often | No |
| Per-camera credentials required | Yes, recovered or reset per camera | No |
| Outbound bandwidth per camera | 2-6 Mbps per camera, 24/7 | None. Only thumbnails + metadata exit. |
| Contractor required | Yes, licensed low-voltage | No |
| Cloud region dependency | Yes | No. Edge inference on device. |
| Install steps (cables) | Per camera + NVR + bridge | 5 cables, 1 HDMI port |
| Physical install time | 1-4 days per property | Under 2 minutes |
Ten companies, one row each
The chip row below is the short form of the chain list above. Skim it once before the sales call.
How to audit your property's chain before you call any of them
Run this before the first vendor call. Most of these answers rule out six of the ten vendors above without ever picking up the phone.
Five questions that sort every AI surveillance company for your property
Question 1. What is behind the rack today
Count cameras. Note analog vs IP. Note the DVR or NVR brand and year. Note whether a monitor is plugged into the DVR's HDMI output and is showing a live multiview. If yes, the one-item chain is on the table.
Question 2. Does every IP camera expose RTSP or ONVIF with a known credential
If yes for every camera, RTSP-based vendors are viable. If no for any camera, RTSP-based vendors either stall at that camera or need a bridge appliance that has its own chain.
Question 3. Is there upstream bandwidth for continuous cloud upload
Estimate 2 to 6 Mbps per camera, 24/7. Multiply by camera count. If the property uplink cannot sustain the number, cloud-AI overlay vendors are out. Edge-AI vendors only need thumbnail and metadata egress, which is negligible.
Question 4. Can you budget a capital replacement cycle
First-party smart-camera vendors assume a $20,000 to $50,000 capital project. If that is not in the envelope, rip-and-replace shapes are out. The adapter shape is a $450 one-time line and a $200 monthly subscription.
Question 5. Does video have to stay on the property
Tenant privacy clauses, jurisdiction-specific rules, or an owner mandate to not ship frames to a shared cloud rules out cloud-AI vendors by construction. Edge inference on the DVR HDMI tap emits only event thumbnails and metadata. Frames never leave.
“At a Class C multifamily property in Fort Worth, the one-item adapter chain closed on the first day, and the system caught 20 incidents in the first 30 days including a break-in attempt, using the exact cameras and DVR that were already installed. The prior cloud-AI sales cycle had stalled twice because the property's cameras did not expose RTSP with recoverable credentials.”
Cyrano deployment, Fort Worth, TX
Three places a long prerequisite chain actually breaks
These are the three failure modes we hear from property managers who tried a cloud-AI vendor before calling us. Each one is a specific link in the chain. Shorten the chain, and these stop being failure modes.
Break 1
The camera that will not speak RTSP
On a property with 0 cameras, it only takes one offline, firmware-broken, or credential-lost camera to stall a vendor that requires RTSP from every position. The one-item chain does not care because it does not ask the camera for anything.
Break 2
The DVR that is not on the compatibility list
Compatibility matrices for cloud bridges cover roughly 0 to 0% of mid-market DVRs. The HDMI tap reads the monitor port, so any DVR that drives a guard monitor is compatible by definition.
Break 3
The uplink that cannot carry every camera
25 cameras at 4 Mbps each is 100 Mbps sustained upstream. Most mid-market multifamily properties cannot sustain that to a cloud region. Edge inference on the composite frame emits only event thumbnails and metadata.
Audit your property's chain on a 15-minute demo.
Bring a photo of your DVR's back panel. We walk through the HDMI tap, show the composite multiview running through inference, and deliver a real event thumbnail to WhatsApp before the call ends. If your chain does not close on the HDMI tap, we tell you on the call.
Book the chain audit →When the adapter chain is the wrong answer
A one-item chain is a constraint, not a superpower. It is the wrong pick when the property has no DVR and no HDMI output to tap, when the security buyer needs license plate OCR at 4K on every camera, when the use case is retail shoplifting inside a store (pose classification against a POS is a different model), or when a corporate security director wants one cloud pane of glass across 50 sites and has the capital and IT headcount for it.
For the rest of the mid-market multifamily, construction, and small commercial properties on the market, the adapter chain is the only chain whose prerequisite links all exist on the property already. No other AI surveillance company on the top-10 list can claim that in April 2026.
Frequently asked questions
What is a prerequisite chain, and why is it the thing that matters when picking between AI surveillance companies?
A prerequisite chain is the ordered list of conditions a property has to meet before a given AI surveillance company's software can run on it. For most vendors the chain is: working IP cameras on every camera position, each camera exposing RTSP or ONVIF, valid credentials for each camera, a VLAN or subnet the vendor can reach, upstream bandwidth to upload the feeds, and an NVR or bridge device the vendor certifies. If any link in the chain breaks (an analog camera, a lost password, a DVR the vendor does not support), the deployment stalls. Listicles rank vendors on features, which all look roughly the same across the market. The chain is what decides whether the vendor will actually turn on at your property. Cyrano's chain has one link: an HDMI output on the DVR that is already driving your guard monitor. That is the single architectural difference that explains the price and install-time gap across the category.
How do I find out a given AI surveillance company's prerequisite chain before I take the sales call?
Look at the vendor's deployment guide, install checklist, or compatibility matrix rather than the marketing page. Four fields reveal the chain. One: what camera protocols are required (RTSP, ONVIF, first-party, HDMI). Two: what credentials are required per camera. Three: what bandwidth is required per camera to the internet or to a cloud region. Four: what existing hardware is kept versus replaced. A vendor that refuses to answer these in writing before a demo is a vendor whose chain is longer than they want to say on a sales call. Cyrano publishes the full chain on the llms.txt spec and in every public install write-up: HDMI input on the device, HDMI passthrough to the monitor, ethernet for the control plane, power. Four cables, one port. That is the whole list.
Why do most AI surveillance companies require RTSP or ONVIF access to your cameras?
Because their product is a software-only inference service, and the only way software can read a camera's pixels without owning the camera is a network protocol. RTSP is the de facto streaming protocol for IP cameras. ONVIF is a discovery and control standard layered on top. Both assume a modern IP camera with a valid IP address, a working credential, firewall access, and firmware that has not silently broken the feed. On a mid-market multifamily property installed in 2018, any one of those four can be a blocker. A vendor whose ingest is RTSP-first has a prerequisite chain that is, in practice, about 50 checks long when you include per-camera credential recovery. Cyrano's HDMI tap bypasses the chain entirely by reading pixels off the port the property's guard monitor already uses.
How does Cyrano actually get video off an existing DVR without touching the cameras or the network?
One HDMI cable. Every modern DVR and NVR has a monitor output on the back that renders a composite multiview grid of all cameras. That output has been feeding a guard monitor continuously since the system was installed. Cyrano unplugs the monitor from the DVR, plugs its HDMI input into the DVR, plugs the monitor into its HDMI passthrough port, adds ethernet for the control plane, and plugs in power. Total install time is under two minutes on a running system, with no downtime to the guard view. The composite multiview frame containing up to 25 camera tiles becomes the inference input. No RTSP session is opened, no ONVIF profile is negotiated, no camera credentials are touched, and no cloud ingest is started.
What exactly does 25 camera tiles per Cyrano unit mean?
It means a single Cyrano device ingests one HDMI stream that the DVR composites from up to 25 separate camera feeds in a grid pattern (a 5x5 multiview, or any smaller layout the DVR supports). The inference pipeline runs once per frame on the composite image and segments detections back to their tile of origin using fixed tile coordinates. One device covers a 25-camera property on one HDMI port at one flat software subscription fee. This is why the per-camera cost math works out to around $13 a month at 16 cameras and around $8 a month at 25 cameras, regardless of camera brand, protocol, or age.
Does the shorter prerequisite chain mean Cyrano is weaker than Verkada or Coram AI?
It means Cyrano covers a narrower set of features on purpose. The detections a mid-market multifamily or construction property actually needs (person in a restricted zone, loitering, package left unattended, tailgating, after-hours entry) are class detections plus zone rules, which run fine on the composite HDMI frame. The detections that require first-party hardware (license plate OCR at 4K per camera, biometric face matching against an enterprise gallery) are out of scope because they are not the job. For the enterprise security director who has the budget and the remit for those features, an enterprise vendor is the right choice. For a property manager who has 16 cameras already on the wall and $200 a month to spend, the one-item prerequisite chain is the only chain that closes.
How do the listicles of top AI surveillance companies compare to this page?
Listicles (Coram's 11 Best, Memories.ai's 11 Best, MarketsandMarkets, International Security Journal, Kanerika, G2's alternatives lists) rank vendors on feature grids: face recognition yes/no, analytics yes/no, dashboard yes/no. These matter less than they appear because most mid-market buyers will never use features behind the first two columns, and most vendors score similarly on the feature grid. What the listicles do not publish is the prerequisite chain. So a buyer who picks the top-ranked listicle vendor walks into a sales cycle and discovers three weeks later that the vendor's ingest cannot read their 2017 Hikvision DVR, their cameras cannot expose working RTSP, or the property's uplink cannot sustain the 25-feed cloud upload. This page exists so that discovery happens before the sales call, not three weeks after it.
If I already have IP cameras that do expose RTSP, is the HDMI adapter shape still the right pick?
Not automatically. The HDMI tap is the right shape when the property has any combination of analog cameras, legacy DVRs, unknown credentials, mixed brands, or bandwidth constraints. If a property has uniformly modern IP cameras, known credentials, network headroom, and a security director who wants one cloud pane of glass across a portfolio, a cloud-AI vendor (Scylla, Cloudastructure) or a full smart-camera vendor (Verkada, Coram, Lumana) is viable. The selector is the prerequisite chain, not a religious attachment to any specific architecture. Cyrano's pitch is that on most mid-market properties the chain only closes on the HDMI tap, and that is the pattern we have seen across 50+ installs.
Where can I verify the install sequence and the hardware claims before a demo?
The Cyrano llms.txt at apartment-security-cameras.com/llms.txt is the canonical public spec. It lists the hardware price, the software price, the camera count per unit, the edge-AI data path, and the installation procedure. The demo video at youtu.be/_xYiJbH6S_A shows the HDMI tap on a running DVR. The install terminal block on the sibling /t/ai-surveillance-company page lists the exact five-step sequence (unplug monitor, plug Cyrano HDMI_IN, plug monitor into passthrough, plug ethernet, plug power) with timing under two minutes. Every step is on a production running DVR, not a lab mockup. The whole point of the short prerequisite chain is that it is short enough to publish.
The rule worth printing
Before you compare AI surveillance companies on features, compare them on the prerequisite chain. The feature charts converge; the chains diverge by an order of magnitude. A long chain is the single most reliable predictor that a sales cycle will stall three weeks in on a camera the vendor cannot read, a DVR the vendor does not certify, or a bandwidth budget the property cannot sustain.
Cyrano exists because a one-item chain ships. Plug an HDMI cable into a DVR you already own. Up to 25 camera tiles go through a single inference pass. $450 one-time, $200 a month, whole property. If that chain closes on your property, the rest of the vendor conversation is short.
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