Built for the world. Launched in India.

Designed for India's maternal healthcare infrastructure — supporting OB-GYN clinics, pediatric practices, and hospital networks from Tier 1 metros to Tier 2 and Tier 3 cities. Available in English, Hindi, and Telugu. Built with an offline-first mobile architecture for semi-urban and rural environments where internet can be intermittent.

India accounts for roughly 20% of global births annually. With a maternal mortality ratio still well above developed-nation averages, the gap between the 15-minute clinic consultation and the 30 days of critical patient choices at home is where Aayi.ai makes the greatest difference.

Serves the large South Asian and Arab expatriate community in the UAE, Saudi Arabia, Kuwait, Qatar, Bahrain, and Oman. Available in English and Arabic. Compliant with UAE PDPL and DHA (Dubai Health Authority) regulations. Expanding to cover HAAD (Abu Dhabi Health Authority) requirements.

The GCC region has a highly mobile patient population — mothers frequently move between home countries and Gulf cities during pregnancy. Aayi.ai's cloud-native architecture means continuity of care follows the patient, not the geography.

Addressing maternal health disparities across the US — from urban OB-GYN practices in major metros to underserved rural communities where access to continuous prenatal support is limited. HIPAA-aligned architecture, English-first with multilingual roadmap for Spanish and South Asian language communities.

The US has one of the highest maternal mortality rates among developed nations, with significant disparities by race and geography. Aayi.ai's between-visit compliance and monitoring tools directly address the care gaps that contribute to adverse maternal outcomes.

Supporting NHS-adjacent and private OB-GYN and midwifery practices across England, Scotland, Wales, and Northern Ireland. Designed to complement NHS antenatal care pathways with between-visit patient support, compliance tracking, and AI-assisted symptom triage.

The UK's South Asian diaspora community — which has specific maternal health considerations around gestational diabetes, anaemia, and vitamin D deficiency — represents an immediate high-value user base aligned with Aayi.ai's original clinical design.

Serving private maternity clinics and hospital networks across Germany, France, Netherlands, Spain, Italy, Portugal, and beyond. GDPR-compliant data architecture with multilingual interface roadmap. European market entry prioritises countries with strong private maternal healthcare sectors and digital health adoption.

EU's AI Act and GDPR together create the most stringent data and AI regulation environment globally. Aayi.ai's consent-first, explainable AI architecture was designed with this regulatory environment in mind from the outset.

Expanding into Russia and CIS markets — including Kazakhstan, Uzbekistan, Azerbaijan, Georgia, and Armenia — with localised maternal health protocols. Russian-language interface in active development. Designed for high-volume hospital networks and national maternity centres that serve large patient populations.

Russia has a network of national perinatal centres with strong data infrastructure — a natural fit for Aayi.ai's hospital-grade analytics dashboard and population-level compliance tracking tools.

Targeting maternal health innovation in China and the broader Asia-Pacific region — including Singapore, Malaysia, Indonesia, Philippines, Vietnam, and Australia. Mandarin interface and local data residency roadmap underway. Partnering with regional hospital groups and digital health accelerators.

China's two-child and three-child policy changes have created a significant wave of new demand for quality maternal health support. APAC's digital health investment ecosystem makes it a high-priority expansion market for Aayi.ai's Series A phase.