Datameister is an AI research & deployment lab focused on spatial and visual intelligence.

We combine cutting-edge research with hands-on engineering to build and deploy real-world systems. Our work spans computer vision, 3D deep learning, generative 3D, scan-to-3D pipelines, physical AI, and agent-driven workflows.

We create custom AI APIs and products for industries like robotics, manufacturing, media, and construction. From early feasibility to full production, we handle the entire stack, from designing algorithms and training models to running GPU infrastructure and MLOps, so teams can rely on visual AI as confidently as any other core system.

Core capabilities:

- Computer vision: tracking, segmentation, action recognition, and 2D-to-3D enrichment
- 3D deep learning: processing and classifying meshes, point clouds, and CAD data
- 3D generative AI: controlled creation of assets, environments, and synthetic data
- Scan-to-3D pipelines: point cloud cleanup, Gaussian splatting, and digital twin building
- Physical AI: spatial monitoring, robotic failure detection, and real-to-sim workflows
- Multidisciplinary and agentic AI: LLM-based extraction combined with geospatial and physics modeling

Datameister

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