AuraOne
Domain Lab

If you can see it in 3D, you can prove it in 3D.
Every point. Every angle. Every measurement. AI registers, meshes, and labels your scans. You export with provenance.
For geospatial and AEC teams where scan accuracy determines project sign-off.

Ingest LAS/E57 point clouds. AI handles noise filtering, scan registration, mesh generation, and semantic labeling. Export annotated scenes for BIM/GIS workflows.

Your first run

5 LiDAR scans. Registered mesh and annotated scene. First export same day.

AI LabsDomain LabsControl Center
Accepted formats
LAS / LAZ / E57 / PLY

Ingest point clouds from LiDAR, photogrammetry, or structured light sensors.

Evidence standards
BIM / GIS standards

Export annotated scenes with provenance for BIM and GIS workflows.

Pre-built agent
scene-builder

Scan registration, mesh generation, noise filtering, and semantic labeling.

Focus Areas

What this lab is built for.

Surfaces designed for scientists, operators, and executives. Every output is versioned with provenance so no work is lost.

Point Cloud Processing

From raw scans to clean geometry.

  • LiDAR and photogrammetry ingest with format normalization
  • Noise filtering and outlier removal with provenance tracking
  • Scan registration and alignment with quality metrics

3D Reconstruction

Surfaces from points.

  • Mesh generation with configurable resolution and quality targets
  • Texture mapping with source image provenance
  • Scene composition and multi-scan assembly workflows

Spatial Annotation

Label, measure, detect.

  • Semantic labeling of 3D objects with reviewer verification
  • Measurement workflows with calibration evidence attached
  • Object detection in 3D with confidence scoring and escalation
Signature Workflow

How Spatial 3D runs.

Automated evaluation. Expert routing. Regression-tested releases.

Step 1

Ingest

Drop your scans.

  • Upload LAS, LAZ, E57, or PLY point clouds
  • Align and register multiple scans with quality checks
  • Flag coverage gaps or alignment issues for review
Step 2

Reconstruct

Build reviewable 3D outputs.

  • Generate meshes from point clouds with configurable parameters
  • Apply textures and materials with source tracking
  • Assemble scenes and validate against spatial requirements
Step 3

Export

Annotate and deliver with evidence.

  • Label objects and regions with semantic categories
  • Measure distances, areas, and volumes with calibration records
  • Export annotated scenes and provenance for BIM/GIS workflows

Overview

Ingest your LiDAR scans, photogrammetry, or depth data and get registered meshes and annotated scenes with provenance at every step. AuraOne Spatial 3D connects point cloud processing, reconstruction, and annotation into a single evidence loop.

Spatial 3D capsule

Every point. Every angle. Every measurement. AI registers, meshes, and labels your scans. You export with provenance.

  • Ingest LAS/E57 point clouds. AI handles noise filtering, scan registration, mesh generation, and semantic labeling. Export annotated scenes for BIM/GIS workflows.
  • LAS / LAZ / E57 / PLY Accepted formats
  • Focus: Point Cloud Processing
  • Workflow: Ingest

Spatial accuracy, documented

Every scan alignment, mesh parameter, and annotation decision is captured with provenance. Trace how a final scene was produced and what assumptions went into it.

Spatial 3D capsule

Every point. Every angle. Every measurement. AI registers, meshes, and labels your scans. You export with provenance.

  • Ingest LAS/E57 point clouds. AI handles noise filtering, scan registration, mesh generation, and semantic labeling. Export annotated scenes for BIM/GIS workflows.
  • LAS / LAZ / E57 / PLY Accepted formats
  • Focus: Point Cloud Processing
  • Workflow: Ingest

Annotation traceability

Semantic labels, measurements, and object detections carry reviewer attribution and evidence. Export annotated scenes for BIM, GIS, and downstream systems with full provenance.

Spatial 3D capsule

Every point. Every angle. Every measurement. AI registers, meshes, and labels your scans. You export with provenance.

  • Ingest LAS/E57 point clouds. AI handles noise filtering, scan registration, mesh generation, and semantic labeling. Export annotated scenes for BIM/GIS workflows.
  • LAS / LAZ / E57 / PLY Accepted formats
  • Focus: Point Cloud Processing
  • Workflow: Ingest

Proof hooks

Evidence that stays attached

This is what the system is designed to record for Spatial 3D workflows. Metrics and outcomes depend on your deployment and must be validated in staging and production.

BIM / GIS provenance
Annotated scenes with full provenance for BIM and GIS workflows.
Scan registration
Alignment quality metrics and calibration evidence per scan.
Scene exports
Portable 3D scene packages with reviewer attribution and provenance.
Want the security and evidence model? Start in the Trust Center.
Visit Trust Center

Start your Spatial 3D Lab.

One session. First lab running.