/What does it look like when women have access to information about their own fertility?

What does it look like when women have access to information about their own fertility?

Published August 16, 2022
Research & Insights

About

We build the infrastructure for the next era of women's health.

Our work spans three interconnected pillars.

1. ORI, the navigation and intelligence layer for women's health

ORI is a precision system that restructures the way women move through care. It organizes symptoms, history, preferences, risks, and lived context into a clear path that shortens diagnostic journeys and surfaces individualized, evidence-aligned options.

Beyond the individual experience, ORI generates continuous, structured and interpretable health data that has never existed. This dataset supports better clinical decision-making, enables sex-aware AI models, reveals unmet needs, and provides governments, employers, and insurers with the information they need to design coverage, benefits, and policy that actually match real-world patterns.

2. FemTechnology Summit, the global convening

An annual forum that brings together leaders in biomedicine, AI, health systems, insurance, government, and finance. The Summit focuses on translating research into practice, aligning incentives across stakeholders, and identifying the structural gaps that limit progress in women's health.

3. FemTechnology University Series, the research pipeline

A global network that includes ETH Zurich, Imperial College London, Harvard, King's College London and other institutions. The series supports emerging researchers and future founders, connects them to commercialization pathways, and makes new scientific insights visible to the broader ecosystem.

Our Thesis

The future of medicine will be built on better data and more accurate AI. Today, the underlying datasets, diagnostic pathways and incentives do not reflect the full complexity of female biology. Entire categories of information have never been collected in a structured way, which means they cannot inform care, policy or machine learning systems.

We build the tools, intelligence layer and collaborations needed to correct that foundation. By capturing the right data and translating it into real clinical and economic value, we aim to unlock earlier diagnosis, more precise care, and stronger population-level outcomes for women everywhere.