Artificial Intelligence
for Reproductive Medicine

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Oocytes Prediction / Classification

Accurate prediction for egg

Patient feedback in IVF cycles
and social egg freezing

Standardized scoring system to facilitate
research in improving egg quality

Available commercially

Embryo Predictions

Non-invasive assessment

Improving success rates per transfer

Decrease twins (single embryo transfer)

Healthier Pregnancy outcomes

Uterus Lining Classification

Prevent transferring embryos at non-ideal time

Improving success rates per transfer

Decrease twins (single embryo transfer)

Healthier Pregnancy outcomes

Quality control is critical for a successful IVF lab.
Artificial Intelligence will inevitably improve outcomes through automation, objective diagnostics and enhanced decision making – all of which are subject to inherent subjectivity, biases, and limitations when performed by a human.

For Clinicians

Doctor + AI = Best Possible Outcome

New tools to help clinicians and embryologists to personalize care and as a result improve outcomes.

For Patients

Everyone’s bodies are different and your personalized information is critical for your doctor to make the best individualized treatment plan for you. By having the option to get deeper information on not only your embryo but also your eggs, we’re armed with more information to give you options and make the right decisions for your care.

About Us

Change is inevitable. Progress is optional.

We have developed the first Artificial Intelligence image analysis tool to non-invasively evaluate oocytes (eggs), creating the only objective classification and prediction tool Violet™ for an oocyte.

Insights yielded by our patented software technology will be invaluable to patients, clinicians, and researchers. We are actively applying our AI solutions to numerous clinical applications in the field of reproductive medicine, including an enhanced non-invasive assessment tool for embryo quality and endometrial receptivity assessment based on ultrasound images.

We are seeking strategic partners to help us in our mission to build advanced diagnostic and predictive tools for reproductive medicine.

Dr. Dan Nayot
Medical Director
Diana V. Olusanmi
Rene Bharti
Jim Meriano
Embryology Director
Alex Krivoi

Board of Advisors

Dr. Mitchell Rosen

Associate Professor, Reproductive Endocrinology and Infertility UCSF

Angeline N. Beltsos, MD

CEO and Chief Medical Officer of Vios Fertility Institute

Louis Villalba

Senior Medical Device / Bio-Technology Executive

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