Synthetic visual data,
without limits
Train on synthetic. Deploy in the real world. Photoreal imagery, auto-labeled and privacy-safe, delivered through a single API.
As seen in
Train better models with data that doesn't exist yet
Photoreal synthetic imagery, auto-labeled and privacy-safe, delivered through a single API.
Data on demand
Generate thousands of labeled scenes in hours, not months. Scale training data without real-world capture overhead.
Learn moreCost & time savings
Skip manual collection and annotation. Go from concept to training set in days, not quarters.
Learn morePrivacy-safe by default
No real people, no PII, no consent issues. Iterate freely without compliance bottlenecks.
Learn moreFaster iteration
Generate a new training set in minutes, not weeks. Remove data bottlenecks from your ML pipeline.
Learn moreAs much data as you need
Generate the rare cases real data can't. Real-world edge cases are expensive, slow, and sometimes impossible to capture. Synthetic data removes that constraint.
Generate
Configure scenes as code. Produce high-fidelity synthetic imagery with pixel-perfect labels, on demand. Cover long-tail edge cases without a single real-world capture.
Learn moreValidate
Score every dataset for realism, coverage, and privacy before it touches your pipeline. Track quality over time as you iterate.
Learn moreSynthetic data for production AI systems
From autonomous vehicles to medical imaging, datadoo generates the training data your models need.
Image Generation
Photoreal synthetic images with pixel-perfect annotations for any scenario.
Autonomous Vehicles
Train perception models on every road condition, weather, and edge case imaginable.
Robotics & Physical AI
Synthetic environments for robot training. Physics-accurate scenes for sim-to-real transfer.
Object Detection
High-quality bounding boxes and segmentation masks across millions of synthetic objects.
Medical Imaging
Privacy-safe medical training data. No patient consent required, full regulatory compliance.
Dataset Augmentation
Fill gaps in existing datasets. Boost underrepresented classes and edge cases.
Blog
From the datadoo team
Insights, research, and engineering deep-dives.
Grounded Intelligence: How World Models Can Bridge Today's AI and Physical AI
World models learn to simulate physical dynamics. They may be the missing link between today's language-centric AI and the embodied systems that need to act in the real world.
The Synthetic Data Trap: When More Data Makes Your Model Worse
Generating millions of synthetic images is easy. Generating the right ones is hard. We break down the distribution mismatch problem and how to avoid it.
Physical AI Needs Physical Truth: Synthetic Data That Obeys the World
Most synthetic data pipelines optimize for visual fidelity. For physical AI, that is necessary but not sufficient. The underlying physics must be accurate too.
Ready to try datadoo?
Generate synthetic datasets that train better models, faster and at a fraction of the cost.