The innovation focuses on integrating predictive analytics into fertility workflows, enabling clinicians to forecast key biological events such as ovulation and oocyte maturation. By utilising large-scale clinical datasets and machine learning models, the platform allows for more precise and individualized treatment planning.

At the core of FertilAI’s platform are algorithms capable of predicting ovulation several days in advance and estimating the number of mature oocytes retrieved during treatment cycles. These capabilities support clinical decision-making across assisted reproductive procedures, including in vitro fertilization (IVF), intrauterine insemination (IUI), and embryo transfer.