Our work
What happens under the hood
Dense SLAM, in real time
A feed-forward transformer predicts dense depth and camera pose straight from the monocular video stream, no LiDAR, no depth sensor. Submaps are stitched on the SL(4) manifold and optimized with GTSAM, so the map stays consistent even when your path crosses itself.
VGGT-SLAM 2.0 · SL(4) · GTSAM · loop closure
Detection without a label set
Tell the system what matters in plain language instead of picking from a fixed list of classes. Open-set detection segments the objects you asked for and anchors them in the 3D map, where they keep their positions as the scan grows.
CLIP · SAM3 · open-set 3D detection
An agent that knows where things are
An autonomous spatial agent connects your goal to the live geometry: it plans what to track, runs deep scans on regions of interest, and answers questions grounded in what the camera has actually seen, during the scan and after it.
autonomous missions · grounded Q&A · scene reports
Any phone, no app
Capture runs in the mobile browser: open a link, point the camera, walk. The heavy lifting happens on a dedicated GPU session in the cloud, streamed back to you as the map assembles.
mobile browser capture · dedicated GPU session