Diagnostic Ultrasound, made simple

Sonaro^TM uses deep learning to build 3D models of vascular structures from 2D ultrasound images to better predict the risk of thromboembolic events, like heart attacks and strokes. By taking a 3D approach, we create a fast and objective method to perform and interpret the ultrasound exam.

How It Works

Sonaro’s AI works in 3 simple steps

Perform your ultrasound exam, no changes to your work flow

We pride ourselves and maintaining the current clinical workflow, so you don’t have to change your standards

Let our proprietary software build beautiful 3D organ models for you

Our continuously improving and clinician-validated AI will build 3D models for you from traditional 2D ultrasound

Receive a comprehensive report on vascular features for better predictions

Receive annotated images and quantitative descriptions of vascular features, dimensions and composition.

Building 3D organs from 2D images

Our proprietary methods enable 3D visualizations, giving a more accurate diagnosis.

A Holistic Approach

Our analysis includes ultrasound images, blood biomarkers and patient characteristics

High-end image processing

We utilize the highest standard of methods for our organ reconstruction, ensuring that you receive an accurate organ interpretation

Artificial Intelligence

A deep learning approach for accurate risk stratification, with continuous re-iterations and improvements

Data Analytics

Quantified analyses of each organ feature

Better Clinical Judgement

More information on vascular characteristics like volume and presence of worrying features.

Sonaro is founded on 20+ years of research

We are well aware of the limitations of ultrasound imaging: user-dependent errors, lengthy examinations, and increasing costs. This is why our our multidisciplinary team, made up of clinicians, scientists, and AI engineers, have all published work in peer-reviewed academic journals on medical sciences and ultrasound imaging.

Together, our work contributes to the importance of objective organ characterization, all to improve diagnostic ultrasound and reduce the burden on the health care system.