Our technology

Integrates With The Best Of Breed Solutions

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Science-backed, 100%

Learn more about the science behind the app, meet our partners and discover the accuracy levels reached by our technology. There is no place for pseudoscience in healthcare.

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100+ studies behind us

There are 100+ studies  showing that detecting cardiovascular, mental, pulmonary, and brain biomarkers from face video and voice recording can reach an accuracy higher than 90%.

  • 100+ studies on cardiovascular biomarkers detection via PPG
  • 50+ papers on cognitive health screenings via voice recording
  • 30 new studies on metabolic health assessment via eye picture

5  validated partners

We are working with 5 medically validated B2B partners and many top hospitals & universities. They are providers of digital biomarkers technology and already got approval from regulatory bodies.

Results up to 95% accurate

The accuracy of our screenings is our main priority. Some of our commercial-grade AI models already reach accuracy levels > 90%

>90%

Voice Biomarkers Accuracy

~80%

In-house Models
Accuracy

Looks like magic.
But how does it work?

Learn more about the technology making remote health screenings reliable preventive tools.

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Face video technology

Face videos can be used to detect vital signs and blood biomarkers and assess a person’s health status and risk of developing diseases. The underlying technology is called Photoplethysmography (PPG). It leverages RGB light reflection patterns from a person’s face to detect changes in the skin and blood vessels. The accuracy varies depending on the biomarker/ disease and the length of the face video. However, the technology showed relevant results, achieving accuracy levels higher than 90%.

Voice recording technology

Voice recordings contain useful information that can be used to detect diseases. Thanks to state-of-the-art machine-learning algorithms, it is possible to extrapolate and interpret hidden voice patterns (aka voice biomarkers) associated with multiple health conditions.The most prominent applications of voice biomarkers are the early detection of brain disorders (Parkinson, Alzheimer’s, Dementia), Depression, other mental disorders, and respiratory conditions (Asthma, COPD, and even covid). The accuracy varies depending on the disease.

100+ studies behind our technology

There are 100+ studies  showing that detecting cardiovascular, mental, pulmonary, and brain biomarkers from face video and voice recording can reach an accuracy higher than 90%. Visit our Research section within the Knowledge section to learn moreIn addition, we leverage partners’ technologies that already got medical certifications or are close to it. Finally, we are also working on novel technologies in-house (e.g. Detecting HbA1c from external eye images).

5  medically validated partners

Yes. We are working with 5 medically validated B2B partners and many top hospitals & universities. Our business partners at   the moment, include Canary Speech and MX Labs for our voice screening and face video technologies respectively. They are providers of digital biomarkers technology and already got approval from regulatory bodies. Canary speech is now also partnering up with Microsoft. In addition, we are stipulating partnerships with renowned Hospitals and Universities in the US and Europe. Names will be announced soon.

Up to 95% accurate health screening

The accuracy of our screenings is our main priority. Some of our commercial-grade AI models can reach accuracy levels of 95%. for example.  Please see the table for accuracy levels of each specific  biomarker currently available. Voice biomarkers detection reaches accuracy levels of more than 90% while our cardiovascular screenings are ECG 1 comparable. Novel technologies developed in-house for detection of new biomarkers like cholesterols and HbA1c are showing promising results.