ryver.AI

Minimize bias in radiology data with

diverse AI-generated medical images

RYVER enables medical AI teams to generate
high-quality radiology images with annotations
reducing time and cost in data acquisition.

Trusted by

Improve accuracy
and robustness

More Data

Use RYVER generative models to augment your proprietary data and oversample underrepresented subgroups.

Increased Diversity

RYVER models add diversity by being pre-trained on rich medical data from multiple partners. 

Save money
and time

Lower Cost

Save 80-90% in cost per image by substituting data acquisition and annotation efforts as our models provide annotations on pixel level.

Faster Development

Generate additional data in minutes instead of months enabling your AI teams to focus on building and iterating quicker than ever.

Generate and Assess

synthetic medical images with ease

Radiology

CONNECT

to pre-trained generative models

RYVER generative models are pre-trained on high-quality medical imaging data sets. They can easily be fine-tuned with your
proprietary data without compromising data security or privacy.

GENERATE

data with a few lines of code

RYVER python libraries enable you to easily integrate generative models into your data pipeline and generate synthetic data with
only a few lines of code.

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ASSESS

the quality of synthetic data

RYVER provides a range of frameworks and tools to quickly assess the utility of synthetic data, including embeddings and the evaluation of downstream performance improvement of diagnostic models. 

INTEGRATE

into your data pipelines

Synthetic data resources can be easily discovered through a graphical interface and used through a python library.  The usage is automatically documented to eliminate 
manual compliance work.

SyntheticData

Discover the potential of synthetic data and fuel your AI development.

RYVER.AI GmbH

Tal 44

80331 München

Germany