<aside> <img src="/icons/info-alternate_green.svg" alt="/icons/info-alternate_green.svg" width="40px" /> We are increasing pregnancy rates in IVF through a non-invasive test and AI

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Motivation

Vision

To ensure that every IVF patient trusts that their decisions are based on science and data, reducing their emotional and financial burden throughout the process.

Mission

To measure the potential of embryo pregnancy in real-time, on-site, and noninvasively, achieving pregnancy rates above 75%.

Values

Problem

The Struggles of Infertility: Barriers and Failures in Assisted Reproductive Technologies

SSince the first IVF birth in 1978, technological advancements in assisted reproduction have progressed rapidly, primarily driven by social shifts such as delayed parenthood. Infertility is a global issue, affecting 1 in 6 people—approximately 186 million individuals—who rely on assisted reproductive treatments (ART). However, despite these advancements, 70% of ART procedures fail, forcing many women to undergo multiple IVF cycles before achieving pregnancy. This results in significant physical, emotional, and financial strain. Additionally, only 25% of patients can afford these treatments, underscoring the substantial economic barriers to access.

The main issue behind the low success rate in IVF lies in how embryos are selected. An embryologist makes this decision based on embryo morphology, evaluating parameters such as cell division timing, cell symmetry, and the presence of fragmentation. However, this process is entirely subjective and largely dependent on the professional's experience. Additionally, some patients undergo preimplantation genetic testing (PGT) before transfer, which helps detect chromosomal abnormalities in the embryo. However, while PGT improves selection, it does not guarantee implantation or a successful pregnancy, as other factors influence embryo development.

This image, captured through the microscope, shows what the embryologist observes when making decisions, often without access to chromosomal or metabolomic information.

Solution