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Any sensor. Any archive. One model of the place.

Capture brings high-quality spatial data in from everyday cameras and field platforms: phones, 360° cameras, drones, LiDAR and robots.

Scaniverse, on-demand capture and your own archives all feed the same pipeline, so the data you already have becomes the foundation for spatial intelligence.

ScaniverseWeb, iOS and Android
On-demand captureLarge or complex sites
Field platformsDrones, robots, LiDAR
ArchivesScans and imagery you own
Capture (キャプチャ)
SourcesGround, air, orbit
PrivacyPrivate by default
RangeOne room to many sites
ReconstructionSplats and meshes
LocalizationMaps to position against
UnderstandingInputs for semantics
ExportsSPZ · PLY · GLB · USDZ

Three ways in

  1. Scaniverse
    Capture and manage spatial data on web, iOS and Android, with team workspaces and export to open formats.
  2. On-demand capture
    Trained operators plan, capture and process large or complex sites, and deliver a finished, georeferenced model.
  3. Bring your own data
    Connect drone imagery, LiDAR scans, telemetry and archives. Capture is source-agnostic.

Built for enterprise

Private by defaultYour data is processed and stored only for your organization.
Open formatsExport splats to SPZ, our open-source format that cuts file size by about 90%, or PLY, and meshes to GLB or USDZ.

Frequently Asked Questions

How do Scaniverse, on-demand capture and bring-your-own-data differ?

Scaniverse is the web and mobile workflow for teams that capture and manage data themselves. On-demand capture is a full-service option for large or complex sites. Bring your own data connects imagery, scans and telemetry you already have.

Which devices and data sources are supported?

iOS and Android devices, 360° cameras and drones, plus drone imagery, LiDAR scans, satellite imagery and other sensor datasets.

How accurate are captures?

It depends on the capture method, sensors, coverage and processing. On-demand capture uses multi-sensor hardware for georeferenced, survey-grade results on enterprise sites; mobile capture is high-fidelity but varies with conditions.

What can one capture produce?

Gaussian splats (SPZ, PLY) and meshes (GLB, USDZ), localization maps, and georeferenced inputs for understanding and simulation.