Why it matter?

The first 1,000 days—from conception to a child’s second birthday—are a critical window for lifelong health and development. Yet critical questions in maternal and infant health often remain unanswered due to limited real-world data. Traditional lab-based studies are costly, slow, and fragmented, requiring extensive funding, protocol design, data collection, and analysis. This creates delays in clinical trials, pilot studies, and product development, leaving a gap between real-world experiences and research insights.

Questions like:

  • Does magnesium supplementation reduce pregnancy migraines?
  • How does breastfeeding duration impact infant weight gain?
  • Which nutrients are pregnant women actively seeking?
  • Which symptoms influence supplement use during pregnancy?

are difficult to answer with current approaches.

Amomi closes this gap. We transform real-world experiences from families into structured, anonymized insights, following CDISC standards to ensure research-ready quality. Our secure infrastructure stores user data anonymously on AWS, with SOC 2 and SOC 3 compliance.

Familiar with clinical trial frameworks, Amomi makes it easier for drug and healthcare companies to leverage real-world maternal and early-life data to accelerate research, support product development, and streamline regulatory approval processes. By connecting insights across pre-pregnancy, pregnancy, and early childhood, Amomi empowers organizations to make faster, more informed decisions—supporting healthier outcomes during the most critical window of life.opment, and healthcare decisions.

How Amomi Collects Data

Amomi gathers real-world maternal and early-life health insights through our digital platform, supported by a growing community of over 100,000 active users. Families use the Amomi app to track key milestones across the first 1,000 days—from pre-pregnancy and pregnancy to early childhood—creating a continuous, longitudinal dataset.

Users can log health information such as symptoms, nutrition, supplements, pregnancy history, and infant development milestones. In addition, Amomi integrates with wearable devices and health platforms to capture physiological signals like activity levels, sleep patterns, and heart rate. These integrations help enrich the dataset with objective health indicators collected in near real time.

All data is securely processed, anonymized, and standardized to support research and analytics, enabling Amomi to transform everyday health experiences into meaningful insights for maternal and early-life health research.

The platform data