
Néa Fertility is a precision reproductive biology company that embeds directly in fertility clinics, providing next-generation decision support tools and generating proprietary multimodal data at unprecedented scale.
What we do
Fertility care generates rich, complex patient data — yet most clinical decisions are made without the analytical infrastructure to use it. Néa Fertility changes that by embedding directly within clinic workflows.
We provide clinicians with real-time decision support tools grounded in advanced computational methods, while building the most comprehensive proprietary dataset in reproductive medicine.
Real-time tracking and pattern recognition across the stimulation cycle to support timely clinical decisions.
Computational tools that surface actionable insights from patient data, delivered directly in clinic workflows.
Every clinic interaction contributes to a multimodal dataset that has never existed at this scale in reproductive medicine.
Team
Olivia is a scientist-founder with deep roots in genomics and machine learning. Before founding Néa Fertility, she published in Nature, PNAS, and Current Biology, and trained at Cold Spring Harbor Laboratory. She is currently a Runway Fellow at Cornell Tech at the Jacobs Technion-Cornell Institute. She is a former IVF patient, inspiring her to build this venture, and now a (sleep-deprived) mom.
Evan is a computational biologist who studies how biological systems fail, adapt, and resist intervention: work spanning precision oncology, biodefense, and neuroscience. Before Néa Fertility, he was co-founder and Chief Scientific Officer at NNOXX, where he led biosensor and algorithm development and carried a first-to-market technology from concept through commercialization. His research builds computational models that surface novel predictive, prognostic, and diagnostic biomarkers. At Néa, he applies that work to reproductive medicine with the goal of improving patient outcomes.
Contact
We work with a select group of clinics, investors, and collaborators. Tell us about yourself.