From a single 360° photo to a multi-hectare construction site scanned by drones, we design computer vision systems that understand what’s actually happening in the scene. Our team combines classical vision techniques (feature matching, tracking, calibration) with modern deep learning – segmentation, detection, pose estimation and 3D reconstruction – to extract structured data that is ready for dashboards, reports and downstream automation.
On the 3D side, we work with point clouds, meshes, NeRFs and 3D Gaussian Splatting. Depending on your use case, we can reconstruct 3D scenes from multi-view images, refine existing Matterport or LiDAR data, or build custom pipelines for SLAM and photogrammetry. Tooling typically includes PyTorch, TensorFlow, OpenCV, COLMAP, custom CUDA kernels and WebGL / Three.js for interactive visualization in the browser.
We deploy these models into real products: site monitoring tools, quality inspection systems, digital twins and visual search. Whether your data comes from action cameras, 360° cameras, drones, robots or fixed IP cameras, we architect the full flow: ingestion, preprocessing, model serving, metrics and APIs that plug into your existing software and BI stack.