Artificial Inteligence
for Reproductive Medicine

Request Info


Oocytes Prediction / Classification

Accurate prediction for egg

Patient feedback in IVF cycles

Standardized scoring system to facilitate
research in improving egg quality

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 as 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 software analysis tool to non-invasively evaluate oocytes (eggs), creating the only objective classification and prediction tool for an oocyte.

Insights yielded by our patent-pending technology will be valuable to patients, clinicians, and researchers, and have numerous clinical applications including an enhanced non-invasive assessment tool for embryo quality and endometrial receptivity.

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
Jim Meriano
Embryology Director
Rene Bharti
James Lanthier
Amy Schwalm
SVP Corporate Development
Alex Krivoi

Board of advisers

Dr. Daniela Colaci

MD, MSC, Researcher at Clinical for Clinical Effectiveness and Health Policy (Argentina)

Dr. Mitchell Rosen

Associate Professor, Reproductive Endocrinology and Infertility UCSF

Diana V. Olusanmi

MBA, International Business Development and Partner Management in B2B companies. Dipl.-Ing. Mechanical Engineering

Dr. Haider Ali

Assistant Research Professor, Information Technology.
Computer Vision and knowledge based systems
Johns Hopkins

Ben Mulroney

Television Host
CTV, eTalk

Request More Information