Request Early Access
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You can get started with 3 simple steps and no extensive computer vision expertise:
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Foundation models store broad, relevant knowledge about your domain which can be leveraged to efficiently train use-case specific models by decreasing data collection and labelling.
If you have collected vast amounts of (unlabelled) data, Synativ helps to train a proprietary foundation model which can be used time & time again to speed up the development of new use cases.
If you don't have a lot of data collected, Synativ provides industry-specific starting points.
Typical way you would use Synativ:
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Synativ's manufacturing foundation model better focusses and classifies defects and can be used as a starting point to fine-tune models for specific manufacturing applications with a small dataset.
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Out-the-box VFM
Synativ's Manufacturing VFM
Synativ's pathology foundation model better focusses and classifies similar features and can be used as a starting point to fine-tune models for specific pathology applications with a small dataset.
Original Image
Out-the-box VFM
Synativ's Pathology VFM
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