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§ Private Profile · San Francisco, CA, USA
AI-powered platform providing prenatal care for healthcare payors, providers, and employers, focused on maternal and infant health outcomes.
San Francisco-based Delfina provides an artificial intelligence-powered prenatal care platform utilizing predictive analytics and remote patient monitoring to improve maternal and infant health outcomes. The company partners with healthcare payors, medical providers, and employers to standardize access to quality care and reduce severe complications like preterm births and neonatal intensive care admissions. Operating with approximately 70 employees, the enterprise generates an estimated $14,700,000 in revenue through subscription contracts that guarantee a 3X cost savings based on improved clinical results. Delfina has successfully raised $22,300,000 in total funding, highlighted by a $17,000,000 Series A investment round in January 2025 led by US Venture Partners alongside Matchstick Ventures and the NIH Seed Fund. While the specific founding year remains undisclosed, the organization continues expanding its maternal health initiatives following its recent sponsorship at the HLTH 2024 conference.
Delfina has raised $22.0M across 2 funding rounds.
Delfina has raised $22.0M in total across 2 funding rounds.
Delfina has raised $22.0M across 2 funding rounds. Most recently, it raised $17.0M Series A in January 2025.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Jan 1, 2025 | $17M Series A | U.S. Venture Partners | Bread And Butter Ventures, Collide Capital, Matchstick Ventures, Pioneer Fund, Story Ventures, Dafina Toncheva, Daren Cotter, Ellen PAO, John Fontein | Announced |
| Mar 1, 2022 | $5M Seed | — | Bread And Butter Ventures, Coalition Operators, Collide Capital, Cowboy Ventures, Matchstick Ventures, Pioneer Fund, Story Ventures, True Ventures, Dafina Toncheva, Verity Venture Partners, Daren Cotter, Ellen PAO, John Fontein, Robin Pimentel, Shane Neman | Announced |
Delfina has raised $22.0M in total across 2 funding rounds.
Delfina's investors include U.S. Venture Partners, Bread and Butter Ventures, Collide Capital, Matchstick Ventures, Pioneer Fund, Story Ventures, Dafina Toncheva, Daren Cotter, Ellen Pao, John Fontein, Coalition Operators, Cowboy Ventures.
# High-Level Overview
Delfina is an AI-powered maternal health technology company that builds data-driven care management platforms to address the maternal health crisis.[1][3] Founded in 2020 and based in San Francisco, the company offers Delfina Care, an integrated pregnancy platform that connects pregnant individuals, healthcare providers, health plans, and employers through personalized patient education, telehealth services, remote patient monitoring, and AI-driven provider dashboards.[1]
The company serves a critical gap in fragmented maternal healthcare by enabling proactive care coordination and early intervention. Delfina's platform uses patented machine-learning models to predict which patients are most likely to benefit from early intervention for complications like hypertensive disorders and gestational diabetes, empowering care teams to intervene earlier and deliver better outcomes for mothers and babies.[1] With $22.3 million in total funding, including a $17 million Series A led by USVP, and approximately 70 employees, Delfina is positioned as a growth-stage healthtech startup tackling one of the nation's most pressing healthcare challenges.[3]
# Origin Story
Delfina was founded in 2020 by Senan Ebrahim, MD, PhD, who serves as CEO and Founder.[1] The company was originally known as Falcon Health before rebranding to Delfina, reflecting its evolved mission to transform pregnancy care through AI-optimized interventions.[1] Ebrahim's background as both a physician and researcher positioned him to recognize the systemic fragmentation in maternal healthcare—where pregnant women often manually track vital signs and struggle to coordinate care across multiple providers—and to build a technology solution grounded in clinical expertise.
The founding emerged from a clear recognition of the maternal health crisis and the opportunity to leverage predictive analytics and continuous data monitoring to standardize access to quality care and improve outcomes for families while reducing costs for payors.[5]
# Core Differentiators
# Role in the Broader Tech Landscape
Delfina operates at the intersection of several powerful trends reshaping healthcare. The maternal health crisis—characterized by rising maternal mortality rates, racial disparities, and fragmented care coordination—has become a priority for payors, providers, and policymakers, creating urgent demand for innovative solutions.[1][5] The company rides the broader wave of AI adoption in healthcare, where predictive analytics and machine learning are increasingly recognized as tools to improve outcomes and reduce costs.
The timing is particularly favorable: health plans and employers are actively seeking maternity benefits that reduce claims costs while improving outcomes, and regulatory and reimbursement environments are increasingly supportive of remote patient monitoring and virtual care models. Delfina's positioning as a data-driven platform that serves payors, providers, and patients simultaneously gives it influence across the healthcare value chain, potentially shaping how maternal care is standardized and coordinated at scale.
# Quick Take & Future Outlook
Delfina is well-positioned to become a category leader in maternal health technology. As the company scales beyond its current 70-person team and expands its customer base among health plans and large employers, its impact on maternal outcomes and healthcare costs could become measurable and significant. The key to its evolution will be deepening clinical evidence around its predictive models, expanding geographic reach, and potentially expanding beyond pregnancy into postpartum and pediatric care—areas where the same fragmentation and data gaps persist.
The broader trend working in Delfina's favor is the shift from reactive, episodic maternal care to proactive, continuous care management. As healthcare systems increasingly adopt value-based payment models and employers demand better maternal health outcomes, platforms that can predict risk, coordinate care, and engage patients across the entire pregnancy journey will become essential infrastructure rather than optional tools.