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datadoo
Solutions

Synthetic data for production AI systems

From autonomous vehicles to medical imaging, datadoo generates the training data your models need.

Physical AI Applications
01

Autonomous Vehicles

Physics-accurate simulation of every road condition, weather pattern, and edge case. Generate millions of driving scenarios with realistic sensor outputs - without putting a single car on the road.

  • Any weather, lighting, and road condition on demand
  • Rare edge cases impossible to capture safely
  • Multi-sensor simulation (camera, LiDAR, radar) with synchronized outputs
  • Datasets ready for regulatory validation
Talk to our AV team
weather: rainobjects: 120labels: bbox
02

Robotics & Physical AI

Physics-accurate environments for sim-to-real transfer. Generate training data where gravity, friction, and collisions behave exactly as they do in the real world.

  • Physics-accurate environments
  • Manipulation & grasping scenarios
  • Warehouse and industrial settings
  • Sim-to-real transfer optimization
Talk to our robotics team
physics: accuratesim2real: 94%control
03

Medical Imaging

Privacy-safe medical training data. No patient consent required, full regulatory compliance. Train diagnostic models without compromising patient privacy.

  • HIPAA & GDPR compliant
  • No patient data required
  • Rare pathology generation
  • Multi-modality support (X-ray, CT, MRI)
Talk to our medical team
modality: CTprivacy: safePII: none512 x 512
Computer Vision Applications
04

Object Detection

High-quality bounding boxes and segmentation masks across millions of synthetic objects. Perfect annotations every time, at any scale.

  • Pixel-perfect annotations - zero label noise
  • Export in any format (COCO, YOLO, VOC, custom)
  • Infinite object variations with controlled diversity
  • Occlusion, viewpoint, and scale diversity built in
See a demo
4 objects detected0.970.940.990.91COCOYOLOVOCbbox + segmentation + instanceLIVE
05

Image Generation

Photoreal synthetic images with pixel-perfect annotations for any scenario. Control every aspect of the scene composition.

  • Photoreal rendering quality
  • Full scene control
  • Consistent annotation quality
  • Scalable to millions of images
See a demo
rendering...batch: 4/10k1024x1024photoreal10,000 frames
06

Dataset Augmentation

Fill gaps in existing datasets. Boost underrepresented classes and edge cases. Improve model robustness with targeted synthetic data.

  • Gap analysis for existing datasets
  • Targeted class balancing
  • Domain adaptation support
  • Seamless integration with real data
Get a free gap analysis
classessamplestargetgap: filledbalance: 98%classes: +12

Why datadoo

How we compare

See how datadoo stacks up against manual labeling and other synthetic data tools.

FeaturedatadooManual labelingOther tools
Annotation consistency99.9% (automated)87–92% (inter-rater)90–95%
Time to first datasetHoursWeeksDays
Scale ceilingUnlimitedLabor-limitedPlatform-limited
Edge case coverageOn demandIf capturedLimited variation
Privacy complianceBuilt-inManual auditVaries

Any domain. Any object. Any label.

These are just starting points. datadoo generates physics-accurate synthetic data for any visual domain. Tell us what you need.