Metrodora Ventures

Metrodora Ventures is a venture capital firm based in New York, founded in 2020 by Chelsea Clinton. The firm concentrates on health and learning businesses and seeks opportunities in business products, business services, healthcare, and technology-based sectors.

Caroline Kassie

Managing Partner

Mayher Uppal

Investor

Past deals in Infants

Delfina

Series A in 2025
Delfina is a data-driven prenatal care platform that personalizes pregnancy care to improve safety for mothers and babies. It uses a data-powered approach to uncover insights in prenatal care and to optimize interventional workflows through machine learning models. The platform creates individualized pregnancy care plans based on patient risk assessed from multiple metrics and supports early intervention, helping providers deliver equitable, cost-effective care. By integrating data across clinical, demographic, and monitoring inputs, Delfina aims to enhance decision-making, streamline workflows, and improve outcomes throughout pregnancy.

NeighborSchools

Venture Round in 2022
NeighborSchools, Inc. is a Boston-based company that offers a platform connecting childcare providers with families seeking care solutions. Founded in 2018, the platform allows educators to manage their own licensed family childcare programs while empowering them to operate as independent micro-entrepreneurs. By facilitating in-home childcare options, NeighborSchools enables caregivers to earn more while providing personalized attention to small groups of children. Families benefit from the ability to research, enroll, and pay tuition directly through the platform, significantly reducing childcare costs. The company emphasizes individualized care, smaller child-to-caregiver ratios, and a creative curriculum designed to foster child development.

Delfina

Seed Round in 2022
Delfina is a data-driven prenatal care platform that personalizes pregnancy care to improve safety for mothers and babies. It uses a data-powered approach to uncover insights in prenatal care and to optimize interventional workflows through machine learning models. The platform creates individualized pregnancy care plans based on patient risk assessed from multiple metrics and supports early intervention, helping providers deliver equitable, cost-effective care. By integrating data across clinical, demographic, and monitoring inputs, Delfina aims to enhance decision-making, streamline workflows, and improve outcomes throughout pregnancy.
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