Embryoxite - Innovation from the beginning

Better SELECTION

Better CHANCES

We are redefining IVF’s future

The power of metabolomics to identify embryonic potential

What We Do

Of the 50 Million embryos produced by in vitro fertilization techniques every year, about 70% fail to implant because current selection techniques are subjective, non-parameterizable, and lack accuracy.

To meet this challenge, we are developing an AI-powered technology convergence platform capable of analyzing clinical patient data, embryo metabolomic information, genetic profiles, and morphokinetic imaging of embryo development. This will enable us to provide revolutionary insight into the implantation potential of each embryo.

Data Selection

Our platform analyzes and interprets thousands of clinical data samples, time-lapse images, genomic and metabolomic information sets to optimize the decision-making process at each stage of Assisted Reproduction Treatment (ART).

Metabolomics

Our novel biotechnological approach involves analyzing the metabolism of embryos to identify molecular profiles related to embryo implantation. By examining the metabolites that the embryos exchange with the culture medium around them, we are able to obtain vital information about their implantation potential in an entirely non-invasive way.

Artificial Intelligence

We enhance the day-to-day procedures and processes of ART with artificial intelligence. The information that we collate is introduced into an AI neural network that provides an implantation prediction score, thereby elevating the probability of a successful outcome.

Final Score

Through this innovative convergence of multiple technologies, we are able to deliver an accurate panel of results. In doing so, we are proud to establish a new evidence-based paradigm that increases precision levels by harnessing predictive scores for each stage of an ART.

Impact

We increase the chances of achieving pregnancy in less time and at a lower cost, ensuring more positive outcomes for those hoping for a baby.