Next Generation 911
Indoor Mapping
GIS Data
Digital Twin Imaging (DTI) turns LiDAR scans of building interiors into indoor mapping data built for Next Generation 911 (NG911) — formatted to NENA standards and the receiving system layer specs, so telecommunicators see interior detail in the map they already use.
Delivering more than just an address
Next Generation 911 (NG911) systems route calls and validate locations using GIS data — reliable down to the parcel and street, but it stops at the front door. When a call comes from inside a large facility — a school, arena, hospital, or campus building — the dispatchable location is often just a street address. Responders arrive at a building they've never entered, with no floor, no room, no interior route, and no way to know which of eleven exterior doors is closest to the caller.
FCC dispatchable location requirements under RAY BAUM'S Act are pushing the industry toward floor- and room-level detail on every 911 call. Delivering it starts with mapping the interior in a form 911 systems can actually use.
What we capture and what you receive
DTI scans building interiors using terrestrial and aerial LiDAR, producing a dimensionally accurate point cloud of the structure as it exists today — not as it was drawn. From that capture, we produce:
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Interior GIS layers — building footprints, floor and space polygons, room identifiers, and address points with sub-address detail
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CAD/DXF floor plans, layered to match your dispatch system's ingest specification
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Door, stairwell, and vertical circulation data — exterior door IDs, stairwell continuity, elevator locations
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Response-relevant site features — hydrants, FDC inlets, utility shutoffs, AEDs, roof access, shelters — where present and requested
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The underlying 3D digital twin, reusable for responder training, preplanning, and facilities use without rescanning
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Attribution follow the NENA NG911 GIS Data Model (NENA-STA-006) and CLDXF (NENA-STA-004), so data validates against your authority's existing GIS instead of sitting in a separate silo.
Wayfinding and room clearing
The same capture that produces your dispatch data also powers interactive response tools built into the model.
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Wayfinding routes responders through the actual structure of a building they've never entered, instead of interpreting a floor plan under pressure.
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Room clearing lets rooms be marked cleared within the model, giving a running visual record of progress through the building.
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Both are operational in DTI's portal and have been demonstrated with responder agencies. Multi-user shared sessions and live PSAP workflow integration are in development — DTI is seeking 911 authority partners for pilot programs.
A scan is not a virtual tour
Photographic virtual tours are useful for orientation — they are not dispatching data. A tour is imagery; a dispatch basemap needs geometry with attributes.
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Tour imagery can't be validated against a Location Validation Function (LVF), generate sub-address points, be attributed to a NENA schema, or export to your PSAP's GIS. LiDAR capture does all four and still produces a navigable visual walkthrough as a byproduct.
Integration with existing dispatch systems
We build to the receiving system's specification rather than asking the 911 authority to adapt to ours. Before capture begins, we confirm layer naming, coordinate reference system, georeferencing, and attribution schema with your GIS coordinator or dispatch vendor.
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Deliverables ship in the formats dispatch systems ingest — vectorized CAD/DXF floor plans and GIS feature layers attributed to the NENA NG 9-1-1 GIS Data Model. Where an authority has an existing vendor relationship, we coordinate delivery directly with that vendor.
Who we work with
911 authorities and PSAPs, state 911 coordinators and boards, county emergency management, regional dispatch centers, and public safety GIS coordinators.
Metaverse Imaging Inc. (d/b/a Digital Twin Imaging) is based in Sioux Falls, South Dakota, with past performance in South Dakota, Minnesota, Iowa, Missouri, Utah, Nevada, and Ohio. We hold GSA Multiple Award Schedule contract 47QRAA25D008M (SIN 54151S); our capture and modeling technology is protected by U.S. Patent 12,442,641 B1.