Room-level hotel data, structured and licensable.

Hotel data ends at the property. Star ratings, brand standards, and aggregate reviews describe the building, not the room. Roomza structures the room itself: condition, layout, noise, view, workability, accessibility, amenities, sentiment, media, and spatial capture. Provenance and licensing are built in.

6,000+

Hotels in the network

Sample room record

Each room is represented as a structured record with condition, layout, noise, view, workability, accessibility, amenities, sentiment, media, spatial capture, and provenance fields.

rz_h_4827_1408

JSON

{
  "hotel_id": "rz_h_4827",
  "room_id": "rz_h_4827_1408",
  "market": "New York, NY",
  "room_type": "King Deluxe",
  "size_sqft": 392,
  "max_occupancy": 2,
  "floor": 14,
  "condition_score": 8.1,
  "last_renovated": "2024-03",
  "noise_profile": {
    "street": "moderate",
    "hallway": "low",
    "elevator": "none_detected",
    "mechanical": "low"
  },
  "view": {
    "type": "city",
    "exposure": "north",
    "obstructed": false
  },
  "workability_score": 8.7,
  "workability": {
    "desk_dimensions_in": [44, 22],
    "outlets_within_reach": 4,
    "wifi_median_mbps": 184,
    "lighting": "task_plus_ambient"
  },
  "accessibility_flags": ["step_free_route", "roll_in_shower"],
  "amenities": ["desk", "mini_fridge", "blackout_shades", "iron_board", "in_room_safe"],
  "guest_sentiment": {
    "positives": ["quiet", "clean", "good light"],
    "negatives": ["bathroom feels dated"],
    "n_reviews_referenced": 274
  },
  "media": {
    "image_count": 24,
    "video_uri": "s3://roomza-corpus/rz_h_4827/1408/walkthrough.mp4"
  },
  "spatial_capture": {
    "captured_at": "2026-04-22",
    "method": "lidar + photogrammetry",
    "point_cloud": {
      "format": "ply",
      "point_count": 12400000,
      "resolution_mm": 8,
      "uri": "s3://roomza-corpus/rz_h_4827/1408/scan.ply"
    },
    "mesh": {
      "format": "glb",
      "vertex_count": 487312,
      "uri": "s3://roomza-corpus/rz_h_4827/1408/mesh.glb"
    },
    "floor_plan": {
      "format": "svg",
      "area_sqft": 392.4,
      "uri": "s3://roomza-corpus/rz_h_4827/1408/floor_plan.svg"
    },
    "fixed_objects": [
      { "type": "bed",      "position_m": [2.14, 0.55, 3.20] },
      { "type": "desk",     "position_m": [4.62, 0.75, 0.81] },
      { "type": "tv_mount", "position_m": [4.84, 1.42, 1.55] },
      { "type": "window",   "position_m": [5.10, 1.20, 2.18] }
    ],
    "clearances_in": {
      "door": 34.0,
      "shower_entry": 30.5,
      "bedside_to_wall": 22.0
    }
  },
  "source_path": "first_party_capture",
  "collection_date": "2026-04-22",
  "rights_basis": "commercial_license",
  "refresh_history": {
    "last_refreshed": "2026-05-15",
    "refresh_cadence": "annual"
  }
}

Choose your door

AI / LLM

Building an AI or travel product?

License the room-level training corpus no one else has assembled.

Robotics

Training robots or spatial AI?

Scoped, high-fidelity hotel interior data priced per room.

Diligence

Underwriting or acquiring hotels?

Room-level diligence that goes beyond ADR, RevPAR, and TripAdvisor.

Platform

Building on top of hotel data?

Live room intelligence via API for booking, search, and concierge products.

Hotel Partners

Other platforms profit from guesses about your property.

Get paid for the real thing. Your rooms are already in the network.

See how it works

Data collected through direct hotel partnerships, PMS integrations, first-party capture, and structured open-web mapping.