Computer Vision
Advanced tracking, segmentation, human action recognition, and 2D-to-3D content enrichment across camera and 3D modalities such as LiDAR.
API OperationalAI Research
AI Research
& Deployment
We bridge advanced AI research and production engineering. Our lab builds and deploys systems for spatial and visual intelligence — from computer vision to 3D generation.
Commission your custom API →Core Capabilities
3D Deep Learning
Segmentation, processing and classification of 3D modalities: meshes, point clouds, and CAD. Geometrical similarity vector databases for retrieval and matching.
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.
Scan-to-3D Pipelines
Build spatial virtual twins for analysis and generation with point cloud clean-up, segmentation, Gaussian splatting, and scene fitting.
Physical AI
Spatial observability and diagnostics for embodied agents. Automating robotic failure detection, intent analysis, and real-to-sim pipelines to close the loop between field data and simulation.
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.
Philosophy
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.