Advanced learning toward more accurate diagnosis and
prediction of fetal abnormalities.
Being highly safe for patients and clinicians, obstetric ultrasound has proven a
fundamental ingredient of prenatal care for applications ranging from accurate
dating of a pregnancy to detecting pregnancy complication factors and fetal
Benefiting from being highly portable and economical, it has become one of the
most commonly performed imaging modalities in clinical practice, providing
real-time data acquisition and visualization.
Although ultrasound imaging is widely used, it remains one of the most
complex and time consuming examinations, associated with high variability
and low quality of monochrome images.
The accuracy of fetal abnormality diagnosis is highly dependent on
quality of the machine, and the experience and cognitive ability of
As a result, fetal ultrasound examination is prone to technical and human
errors, which can cause extreme emotional stress for the parents and
lead to expensive, unnecessary medical interventions and adverse
Improve fetal diagnostics
Our aim is to help clinicians to address problems related to the
obstetric ultrasound by improving the fetal diagnostics and simplifying
the decision making.
We want to precisely define fetal biometric key parameters and help diagnosticians
with detection of prenatal pathologies and congenital defects from the earliest
weeks of pregnancy.
THEIA is the cloud-based platform distributed under the SaaS license
that will support clinicians
during ultrasound screening allowing to raise the confidence in the obstetric
THEIA is based on cutting-edge algorithms of applied mathematics and computational physics
powered by our proprietary algorithms of deep learning, enabling a real-time detection
and prediction of fetal abnormalities.
Proud to Be
Laureate of the
Out of Labs challenge in the Entrepreneur's category