Proprietary pipeline brings together AI and CGI




Pixel-perfect labels
for complex tasks
for complex tasks
Since the image data is generated, the attributes of every pixel are known. Complex images are automatically labeled, enabling you to efficiently and cost-effectively train complex models.


New labels to create
new models
new models
Human labelers are unable to provide a wide-range of necessary labels for emerging applications. Synthesis’ platform can provide an expanded set of pixel-accurate labels (e.g. depth, 3D segmentation, complex pose, surface normals, material properties, etc) to enable you to build new and more capable models.





Build better products more efficiently with virtual prototyping
Model camera placement, image modality, resolution, and many more attributes to inform the overall design of your computer vision systems. Using synthetic data enables you to make smarter choices and to better understand model performance before building and deploying hardware.



Simulate camera type & placement