3D Reconstruction & Spatial Analysis

Large-scale scanning, photogrammetry, and realistic rendering.

Large-Scale Facility Scanning: Utilizing Lidar and camera-based systems to perform on-site imaging and scanning of large structures, such as factory buildings.
High-Precision Object Digitization: Sub-millimeter scanning of smaller, laptop-size objects to create highly accurate digital representations.
Automated Photogrammetry Solutions: Implementing “photo-to-3D” model pipelines that transform sequences of photos into detailed 3D assets for e-commerce, virtual try-ons, or manufacturing.
CAD Model Generation: Converting raw scan data and point clouds into structured CAD models for engineering and design applications.

Digital Twins & Cloning: Building comprehensive digital clones of physical environments for planning, architecture, and restoration.
Automated Floor Plans: Generating architectural scale models and floor plans based on inferred 3D reconstructions of existing spaces.
Spatial Mapping & 3D Vision: Applying advanced 3D computer vision for robotics, augmented reality, and scene classification.

Realistic Scene Rendering (Gaussian Splatting & NeRFs): Developing pipelines that use Gaussian Splatting and Neural Radiance Fields (NeRFs) to generate novel views of environments.
Augmented Synthetic Data: Adding arbitrary 3D objects into scanned point clouds to create realistic training data for AI models.

End-to-End Prototyping Support: Transitioning from digital models to physical objects through partnerships for CNC machining and 3D printing.
3D Depth Estimation: Generating 3D depth maps from 2D images to support spatial computing and robotics applications.