Computer Vision
Advanced tracking, segmentation, human action recognition, and 2D-to-3D content enrichment across camera and 3D modalities such as LiDAR.
AI
Research &
Deployment
We bridge AI research and production engineering for spatial and visual intelligence - from computer vision and 3D generation to physical AI.
Talk to the lab3D Deep Learning
Segmentation, processing and classification of 3D modalities: meshes, point clouds, and CAD. Geometrical similarity vector databases for retrieval and matching.
Physical AI
Enabling cognitive robots. Tasks decomposed into skills - composing VLA, perception, and learned control - trained and evaluated in sim stacks like Isaac Sim. Cobots, mobile manipulators, humanoids.
Scan-to-3D Pipelines
Build spatial virtual twins for analysis and generation with point cloud clean-up, segmentation, Gaussian splatting, and scene fitting.
3D Generative AI
AI-driven design tools for context-aware, controlled generation of 3D assets and scenes, including creation and augmentation of synthetic 3D training data.
Multidisciplinary & Agentic AI
Large-scale data collection & extraction with LLMs and agents. Multi-modal data processing. Geo-spatial & physics modeling.
The Datameister Platform
GPU-first infrastructure for visual AI workloads. Integrated model development, deployment operations, monitoring, and EU compliance built in from the start.
Mission
Turn frontier AI in vision, 3D and agents into production systems that real teams rely on. Built to fit, accelerated by our library, and operated in any cloud.
Vision
Spatial and visual intelligence behaves like core infrastructure. Teams run these systems with the same confidence they have in databases and CI/CD today.