Reconstruct

Generate accurate, geo-referenced 3D digital twins from a variety of input data types. Designed for high fidelity and efficiency, running seamlessly from edge devices to the cloud for real-time mapping, localization, and visualization.

Reconstruct integrates diverse data sources from Niantic Spatial Capture↗ and third party capture solutions into seamless, high-fidelity digital twins ready for mapping and analysis.

Processing Pipeline

Scan Processing

Clean, filter, and normalize raw sensor inputs from drones, robots, and handheld systems.

Registration

Align and merge multi-pass scans to ensure centimeter-level spatial accuracy.

Geo-Referencing

Anchor models to real-world coordinate systems for interoperability with GIS, simulation, and autonomy platforms.

Reconstruction Modes

On-Device 3D Reconstruction

  • Process 3D data directly on iOS or Android — fast, private, and mobile.

  • Generate textured meshes or Gaussian splats in real time, fully offline.

  • Ideal for edge computing, field capture, and AR experiences with no cloud dependency.

Cloud-Based 3D Reconstruction

  • Deliver high-fidelity, geo-referenced 3D models in the cloud.

  • Generate photorealistic meshes and splats enhanced by semantic understanding.

  • Ideal for large-scale mapping, multi-user projects, and enterprise digital twins.

Built for the Real World

Public Sector

Enable mission-critical capabilities for spatial autonomy through intelligent location surveying, high-fidelity 3D reconstruction, and immersive AR/VR environments.

Robotics & Autonomy

Generate high resolution 3D environments optimized for perception, path planning, and navigation across dynamic, real-world conditions.

Intelligent Field Operations

Deliver detailed geospatial context for infrastructure inspection, maintenance, and remote operations with scalable, continuously updated digital twins.