ENGINEERING

3D Mapping

Immersive spatial canvases for logistics, defense, and operations.

We design and build real-time 3D visualization systems that transform spatial data into actionable intelligence. Our platforms render complex geographic information with WebGL-accelerated performance, enabling mission planning, fleet tracking, and facility management at scale.

Core Capabilities

01

Interactive 3D Canvas

WebGL and Three.js powered spatial environments with real-time rendering. Dynamic level-of-detail adjustments, GPU-accelerated mesh operations, and vector tile streaming for responsive navigation even with massive datasets.

02

Geospatial Integration

Native support for GIS data sources, satellite imagery, and elevation models. Coordinate transformation pipelines handle multiple projection systems. R-tree and Quadtree spatial indexing for efficient feature querying.

03

Logistics & Fleet Tracking

Real-time position updates via WebSocket. Multi-constraint pathfinding considering terrain, traffic, and temporal factors. Digital twin warehouse representations with automated path generation for picking operations.

04

Defense Applications

Tactical mapping for mission planning with terrain analysis, line-of-sight calculations, and threat zone visualization. Configurable data layers for infrastructure, zones, and hazards with dynamic styling controls.

Technical Foundation

Rendering Stack

Three.js and Cesium for 3D visualization, Mapbox GL and Deck.gl for 2D/3D hybrid views. WebGL shaders for custom terrain effects. Tile-based rendering with instancing and batching for optimal draw call efficiency.

Backend & Data Processing

Node.js services with PostGIS for spatial queries. Real-time updates via GraphQL subscriptions and WebSocket. GDAL, Proj4, and Turf.js for coordinate transformations and geospatial operations.

Infrastructure

Kubernetes orchestration with S3 for tile storage. CDN distribution for low-latency asset delivery. Custom tile server with NGINX caching layer. Offline-first architecture for disconnected operation scenarios.

Point Cloud & Mesh Processing

Potree and LAStools for large point cloud datasets. GPU acceleration for mesh decimation and normal computation. Dynamic LOD generation with octree partitioning for streaming massive 3D models.

Build Your Spatial Platform

Discuss your 3D mapping and geospatial visualization requirements with our engineering team.

Contact Engineering