Prop‑eye is an edge‑AI outdoor camera system that delivers property‑management‑grade intelligence — party formation, vendor accountability, damage detection, portfolio analytics — without the cloud‑recording privacy problems of Ring or Nest. All inference runs on a small box at the property; only event summaries ever leave the network.
Existing property monitoring splits into two camps: privacy‑safe noise sensors that are blind to visual events, and consumer cameras that have no idea what a property manager actually cares about. Prop‑eye sits in the gap — visual intelligence that speaks property‑management semantics, built privacy‑first so it survives a lawyer review and a platform policy.
A single detection fans out across nine parallel classifiers, each scoring what it sees, then converges through severity triage to a single notification — all of it on‑device. The only thing that crosses the edge boundary to your phone is a summary and a thumbnail.
Three customer segments with different pain, different willingness‑to‑pay, and different competitive dynamics. The opportunity isn't “AI cameras for STRs” — Airbnb's 2024 indoor ban killed that. It's outdoor visual intelligence for the operators who manage doors at scale.
~15M US units. Largest by count, smallest by dollar‑per‑customer. Parties, damage disputes, unauthorized guests. Heavily price‑sensitive and already saturated with noise monitors.
10–500 doors at 15–25% management fees. The juiciest segment: crew accountability, maintenance detection, insurance documentation, a portfolio dashboard their PMS lacks. They pass costs through to owners.
~24M US individual‑landlord units. Smaller by count, stickier and higher value per door. Condition verification, lease‑violation evidence, move‑in/out documentation — and no Airbnb‑style platform ban to worry about.
The wedge: No one offers outdoor‑only AI vision purpose‑built for property managers with portfolio‑level intelligence. Consumer cameras are single‑property; PM monitoring tools are sensor‑based and blind to visual events. That empty space is the opening.
Cost / complexity vs. property‑management visual intelligence. The top‑center is unoccupied — that's the wedge.
Noise sensors own the customer's mental model but are blind to anything visual. Consumer cameras have no property‑management awareness. Enterprise systems are priced for offices. PMS platforms manage bookings, not what's physically happening on‑site. Prop‑eye is the only one built for visual PM intelligence, privacy‑first.
| Capability | Prop‑eyeoutdoor AI vision | Noise sensorsMinut, NoiseAware | Consumer camsRing, Nest, Eufy | EnterpriseVerkada, Rhombus | PMS toolsGuesty, Hostaway |
|---|---|---|---|---|---|
| Outdoor visual intelligence | ● | ○ | ◐ | ● | ○ |
| Party formation (before the noise) | ● | ◐ | ○ | ◐ | ○ |
| Cleaning crew / vendor accountability | ● | ○ | ○ | ◐ | ◐ |
| Damage / maintenance detection | ● | ○ | ○ | ◐ | ○ |
| Privacy‑first (no cloud video) | ● | ● | ○ | ○ | ● |
| No face‑recognition database | ● | ● | ○ | ○ | ● |
| Airbnb‑compliant (outdoor‑only) | ● | ● | ◐ | ○ | ● |
| Multi‑property portfolio dashboard | ● | ◐ | ○ | ● | ● |
| PMS integration (Guesty / Hostaway) | ◐ | ◐ | ○ | ○ | ● |
| Works through an internet outage | ● | ◐ | ○ | ◐ | ○ |
| Purpose‑built for property management | ● | ● | ○ | ○ | ● |
| Price / property / month | $35–65 | $10–15 | $3–10 +dev | $100–300/cam | % of rent |
Priced between sensor‑only monitors ($15) and enterprise cameras ($100–300/cam) — the midpoint that AI vision for property management actually warrants. BYOC (bring your own RTSP camera) for the first cohort; a recommended hardware bundle once the support load is understood.
Privacy isn't a feature bolted on — it's the architecture. It's also the moat: it survives a lawyer review, sidesteps Airbnb's platform policy, and is the thing incumbents can't easily copy without rebuilding.
Hawaii posture: outdoor entry points aren't “private places” under HRS §711‑1111, and one‑party audio consent is moot because nothing records audio.
Built at the home testbed first. The discipline: don't enter the commercial phase until 60 days of honest, real‑world evaluation says it's worth it.
Would gut the STR TAM. Mitigation: dual‑market into long‑term rentals from day one.
Minut/NoiseAware have the relationships. ~12–18 month lead; win on PM‑specific depth.
BIPA‑style laws expand. Mitigation: design for the strictest jurisdiction; privacy as a feature.
Positioned as operational intelligence, not security service. Strong contract limits + E&O insurance.
Cameras die, Jetsons overheat. BYOC defers risk; remote diagnostics; realistic SLAs.
The most likely failure mode. Solo CPA, two kids, parallel projects. Side project = it doesn't ship.