Overview
Datameister bridges AI research and production engineering for spatial and visual intelligence across computer vision, 3D generation, and physical AI. The lab offers services in computer vision (tracking, segmentation, action recognition), 3D deep learning, physical AI for robots, scan-to-3D pipelines, and 3D generative AI for design and synthetic data creation.
Key people
In the news
- Next Tuesday we'll be present in Diepenbeek with Flanders Make to talk Physical AI & Robotic Manipulation. Despite daily demos on humanoid robots flawlessly performing complex tasks, we see that in practice, factory floors still rely on classic automation for robotic tasks with little underlying intelligence. Certification and practical integration lag behind, and maintainability of intelligent robotic systems remains a big open question. In two talks, our CEO Ruben Verhack lays out our vision for solving that. In the morning
- 𝗟𝗼𝗼𝗸𝗶𝗻𝗴 𝗯𝗮𝗰𝗸 𝗼𝗻 𝗮 𝘄𝗼𝗻𝗱𝗲𝗿𝗳𝘂𝗹 𝗗𝗮𝘁𝗮𝗺𝗲𝗶𝘀𝘁𝗲𝗿 𝘁𝗵𝗶𝗿𝗱 𝗮𝗻𝗻𝗶𝘃𝗲𝗿𝘀𝗮𝗿𝘆 𝗽𝗮𝗿𝘁𝘆💥 We brought everyone who has been part of our journey together in our Ghent office for a night filled with drinks, good food, music, and laughter. It reminded us how far we've come already. Thanks to everyone for riding along and celebrating with us! We've been working quietly for a while, and there's a good reason for this. Year four of Datameister is set to be an important one - more on that soon 👀
- Moving one wall in a scanned building can mean dragging thousands of triangles by hand. A scan comes back as raw geometry, a point cloud or mesh, with no walls, no rooms, nothing to select, query, or edit. To get a usable model, engineers rebuild the whole scene by hand in CAD, one wall at a time. A recent study clocked that at 89 hours for a single building. Our Parametric Scene Reconstruction pipeline turns a raw scan into structured, editable walls, floors, and openings directly. The core of it: - Semantic segmentation strips out
- 𝗥𝗼𝗯𝗼𝘁𝘀 𝘀𝘁𝗶𝗹𝗹 𝗰𝗮𝗻'𝘁 𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝘆 𝗽𝗹𝘂𝗴 𝗮 𝗰𝗮𝗯𝗹𝗲 𝗶𝗻𝘁𝗼 𝗮 𝗰𝗼𝗻𝗻𝗲𝗰𝘁𝗼𝗿. 𝗧𝗵𝗮𝘁'𝘀 𝘁𝗵𝗲 𝗽𝗿𝗼𝗯𝗹𝗲𝗺 𝗜𝗻𝘁𝗿𝗶𝗻𝘀𝗶𝗰 𝗽𝘂𝘁 𝘁𝗼 𝗿𝗼𝘂𝗴𝗵𝗹𝘆 𝟭𝟲𝟬 𝘁𝗲𝗮𝗺𝘀 𝘄𝗼𝗿𝗹𝗱𝘄𝗶𝗱𝗲, 𝗮𝗻𝗱 𝗗𝗮𝘁𝗮𝗺𝗲𝗶𝘀𝘁𝗲𝗿 𝗰𝗮𝗺𝗲 𝗼𝘂𝘁 𝗳𝗶𝗿𝘀𝘁. Intrinsic is Alphabet's robotics software company, spun out of Google's X moonshot factory, and the panel judging their AI for Industry Challenge includes Google DeepMind, NVIDIA, Foxconn, Universal Robots and Open Robotics. Cable insertion is one of the
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