Reconstruct any environment at metric scale.

Fuse data from phones, drones, LiDAR, and other ground-, air-, and space-based sensors into scalable 3D models that are geometrically accurate and georeferenced, not just photorealistic.

お問い合わせ Try Scaniverse

From input to output

GroundPhones, 360° cameras and LiDAR scanners

AirDrone and aerial imagery

OrbitSatellite imagery

Field platformsRobots and ROVs

ArchivesExisting scans, point clouds and imagery

Reconstruction

AccuracyMetric scale, georeferenced

CloudMulti-scan alignment, highest fidelity

On deviceSingle-scan splats and meshes in Scaniverse

CoverageFrom one room to an entire city

Gaussian splatsSPZ · PLY

MeshesFBX · GLB

Sim-ready scenesUSDZ · splat + collision mesh

Explore a real world environment in 3D

A high-fidelity reconstruction of Lands End as an interactive canvas where digital content is anchored to real-world locations within the splat.

From multi-modal capture to one georeferenced 3D model

Scan alignment

Process images, video, LiDAR, and other sensor data from phones, drones, robots, and satellites, aligning scans across sources and refining their poses in real-world coordinates.
Depth, semantics, and georeferencing

Infer depth and semantic information, and anchor the reconstruction to real-world coordinates.
High-fidelity 3D, ready for your workflow

Create a unified, georeferenced digital twin with high-quality Gaussian splats and textured meshes, built for real-time rendering. Export in SPZ, PLY, FBX, GLB, or USDZ.

Reconstruct on device, in the cloud, or in your environment.

On deviceTurn a single scan into splats and meshes with Scaniverse on iOS and Android, with fast, private processing that can run fully offline, built for the field.

In the cloudBring multiple scans together into our highest-fidelity, georeferenced models of entire sites, built for multi-team projects.

Industries we support

石油・ガスTurn existing footage and new scans into measurable 3D models of facilities and subsea assets for inspection, maintenance, and change assessment.Explore oil and gas

防衛Reconstruct operating environments at metric scale for mission planning, rehearsal, and simulation.Explore defense

Embodied AIBuild simulation-ready scenes from captured sites, pairing Gaussian splats with aligned meshes for policy training and evaluation.Explore embodied AI

Start in Scaniverse

Scaniverse is the front door to our reconstruction pipeline. Bring in phone, 360°, drone or archived captures and get back georeferenced Gaussian splats and meshes.

Try Scaniverse

Talk to us

Piloting a site or scaling across many? We’ll scope reconstruction around your sensors and data, in the cloud or on-premises, delivered as splats, meshes and VPS maps.

Scope a pilot

LocalizationA reconstruction doubles as a map that cameras can localize against.UnderstandingAdd meaning to every point of a reconstruction, then query it.

Frequently Asked Questions

What is 3D reconstruction?

It turns images, video or other sensor data into a three-dimensional model of a real place. Our reconstructions are georeferenced and geometrically accurate, so they support mapping, localization, simulation and operations, not just visualization.

What data can it use?

Imagery and sensor data from Scaniverse and third-party sources, including drones, robots, handheld devices, smartphones, 360° cameras, satellite imagery and LiDAR, so teams can start with the data they already have.

What is the difference between on-device and cloud reconstruction?

On-device reconstruction creates single-scan splats and meshes in Scaniverse on iOS or Android, fast, private and offline. Cloud reconstruction adds multi-scan alignment, georeferencing and higher fidelity for large areas and multi-team projects.

What is the difference between a mesh and a Gaussian splat?

A mesh represents a scene as connected surfaces, which suits simulation and robotics. A Gaussian splat represents it as many small 3D Gaussians that render photorealistically, which suits exploration and review. We can output both, aligned to each other.