Data Collection
Organize real-world data from cameras, LiDAR, RADAR, video and sensor streams.
DATONAT builds AI data infrastructure and annotation systems that transform real-world sensor data into high-quality, AI-ready datasets.
One infrastructure layer for collecting, curating, annotating, validating and delivering multimodal AI data.
Organize real-world data from cameras, LiDAR, RADAR, video and sensor streams.
Filter, structure and classify large volumes of raw data into usable datasets.
Create precise labels across 2D, 3D and multimodal data.
Validation and review workflows designed for reliable training data.
Move structured, production-ready datasets into the workflows used by AI teams.
Data operations built around the perception and intelligence systems powering Physical AI.
ADAS · Perception · Mapping · Autonomous Driving
Navigation · Manipulation · Vision · 3D Understanding
Aerial Perception · Navigation · Mapping · Geospatial Data
DATONAT combines annotation workflows, data processing and quality operations across the modalities Physical AI systems depend on.
Image and video annotation for perception models.
Point-cloud processing and 3D object labeling.
Radar annotation and object-level data operations.
Connect multiple sensor modalities into a unified data view.
Model-assisted workflows that accelerate human labeling and review.
Structured review and validation throughout the data lifecycle.
Bounding Boxes
Polygons
Segmentation
Keypoints
Classification
3D Bounding Boxes
Point Clouds
Cuboids
3D Segmentation
LiDAR
Camera
LiDAR
RADAR
Sensor Fusion
Video
DATONAT is an AI data infrastructure and data annotation company focused on the data systems behind Physical AI.
We work across computer vision, 3D LiDAR, RADAR, sensor fusion and AI-assisted annotation for autonomous vehicles, robotics and drones.
Tell us what data your AI system needs. We can discuss annotation, multimodal datasets and data infrastructure for your next project.
Talk to DATONAT ↗