The UNICEF Venture Fund enabled us to transform Fetosense from a clinical decision-support tool into an AI-powered, open-source solution redefining access to fetal care globally.
CareNX
What was your biggest achievement over the last year?
Over the past 12 months, our team successfully developed and field-tested the AI-based fetal classification model for Fetosense — enabling general physicians in remote areas to perform accurate fetal monitoring without a gynecologist. We installed 30 Fetosense devices with local physicians, collected data from thousands of pregnancies, and validated AI algorithms that can soon be deployed at scale across developing regions.
Can you describe your prototyping process and how your solution evolved over time?
Lessons from the Field and GPs’ Feedback
We began with a decision-tree-based diagnostic tool designed for gynecologists and evolved it into an AI-driven, open-source platform that supports general physicians.
Through iterative hardware-software integration and continuous field feedback, Fetosense became more portable, user-friendly, and clinically adaptive.
Where are the biggest obstacles/challenges you think your company will need to address or work around?
The Last Mile Challenge: Scaling Quality and Affordability
Our biggest challenges include developing accurate for AI validation using constrained dataset, scaling hardware production while maintaining quality, and building localized clinical datasets across geographies. Sustaining affordability in low-resource settings also remains a key focus area.
What are you most excited about for your company next year, and what are your main goals?
Fundraising and Partnerships to Strengthen R&D and Scale Globally
Next year, we plan to:
- Secure USD 1.5 million (50% equity, 50% non-dilutive) to strengthen R&D and distribution.
- Establish partnerships for regulatory validation and global replication.