datadoo
Synthetic Data Platform

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.

Synthetic scene viewport with auto-labels and segmentationA viewport frame cycles through five environments — urban night rain, robotic arm on conveyor belt, desert noon, crash/damage detection, and highway daytime. Each scene shows auto-generated bounding boxes with confidence labels followed by colored segmentation masks over detected objects. A corner HUD displays live render parameters. Below the viewport, a strip of five variant thumbnails highlights the active scene.30car 0.98pedestrian 0.87sign 0.94gripper 0.96package 0.94sensor 0.89truck 0.96rock 0.82vegetation 0.79vehicle 0.99dent 0.93crack 0.87ID: SYN-00847MOD: DR (X-Ray)W: 2048 L: 1024nodule 0.94calcification 0.87cardiac 0.99REC · datadoo.renderframe 00042 / 10,000frame 00087 / 10,000frame 00134 / 10,000frame 00178 / 10,000frame 00215 / 10,000env urban_night · wx rain · lens 35mm · seed 0x7F3Aenv warehouse · wx indoor · lens 24mm · seed 0xA4B2env desert · wx clear · lens 50mm · seed 0x2D91env parking_lot · wx cloudy · lens 28mm · seed 0xC7E5env highway · wx overcast · lens 28mm · seed 0x04E1variations∞ scenes · auto-labeled · privacy-safeurban · nightwarehousedesert · nooncrash · detectmedical · xraybbox · segmentation · depth · instanceLIVE

As seen in

ACM SIGGRAPH
NVIDIA GTC
AWS re:Invent
PyTorch
NAB Show
Formula E
Platform

Train better models with data that doesn't exist yet

Photoreal synthetic imagery, auto-labeled and privacy-safe, delivered through a single API.

10,000+ scenes / hour

Data on demand

Generate thousands of labeled scenes in hours, not months. Scale training data without real-world capture overhead.

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90% cost reduction

Cost & time savings

Skip manual collection and annotation. Go from concept to training set in days, not quarters.

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100% privacy safe

Privacy-safe by default

No real people, no PII, no consent issues. Iterate freely without compliance bottlenecks.

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50x faster iteration

Faster iteration

Generate a new training set in minutes, not weeks. Remove data bottlenecks from your ML pipeline.

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Generate & Validate

As 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.

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Validate

Score every dataset for realism, coverage, and privacy before it touches your pipeline. Track quality over time as you iterate.

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Now available

Ready to try datadoo?

Generate synthetic datasets that train better models, faster and at a fraction of the cost.