We use a complete technology stack, from high-end hardware to custom AI models, to handle spatial engineering at any scale.
Terrestrial LiDAR Density
Millions of points per scan
Spatial Accuracy
Millimeter-level precision
Area Coverage
Large-area surveys in hours
BIM Compliance
IFC Compatible
Level of Detail
LOD 100 to LOD 500
Registration Error
< 3mm precision
High-density 3D scanning for architectural, industrial, and infrastructure environments.
Fixed-wing and multi-rotor platforms for large-area aerial surveys and photogrammetry.
Centimeter-accurate geodetic ground control and cadastral positioning.
Immersive spherical imaging for visual documentation, virtual tours, and photogrammetric reconstruction.
Industry-leading point cloud registration, scan processing, and quality inspection for terrestrial LiDAR data.
Open-source powerhouse for 3D point cloud and mesh manipulation, filtering, and feature extraction.
Professional open-source GIS platform for geospatial data management, analysis, and publication.
Photogrammetric processing pipeline for dense point clouds, orthomosaics, DEMs, and 3D models.
High-performance CAD platform for 2D drafting, 3D modeling, and BIM-ready drawing production.
Comprehensive open-source suite for 3D modeling, animation, and rendering complex spatial environments.
Advanced engineering design and drafting solution specifically tailored for civil survey professionals.
Leading open-source framework for building, rendering, and processing Neural Radiance Fields and 3D Gaussian Splatting.
Precision 2D/3D deliverables in standard formats including DWG and DXF.
High-resolution geo-referenced raster graphics, including GeoTIFF and Cloud-Optimized GeoTIFF.
Raw and processed 3D scan data in universal formats like FLS, LAS, E57, and RCP.
Textured and untextured mesh assets available in OBJ, FBX, STEP, and more.
Open-source machine learning framework for training robust neural networks on geospatial data.
Advanced scripting and data manipulation using Pandas, NumPy, and specialized spatial libraries.
Proprietary, domain-specific deep learning models for automated asset detection and condition scoring.
Check out our case studies or send us the details of your next project.