Better Models Deployed Faster With Synthetic Data
A synthetic data platform for ML engineers providing perfectly-labeled, diverse, and photorealistic images and videos.
A synthetic data platform for ML engineers providing perfectly-labeled, diverse, and photorealistic images and videos.
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Highly-scalable cloud-based generation platform delivers millions of perfectly labeled images.
On-demand data enables new data-centric approaches to develop more performant models.
A unique combination of generative neural networks, procedural generation, and cinematic VFX rendering systems work together to deliver photorealistic images.
An expanded set of pixel-perfect labels including segmentation maps, dense 2D/3D landmarks, depth maps, surface normals, and much more.
Rapidly design, test and refine your products before building hardware.
Prototype different imaging modalities, camera placements, and lens types to optimize your system.
Reduce bias in your models associated with misbalanced data sets while preserving privacy. Ensure equal representation across identities, facial attributes, pose, camera, lighting, and much more.
“…our field must tap into rich sources of synthetic and real data. Sergey Nikolenko’s book lucidly surveys the state of the art in the former, and I consider it required reading for any researcher using deep learning based methods.”
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Synthesis AI Raises a $17 Million Series A To Expand Its Synthetic Data Platform for Computer Vision AI