What We’re Building Now

Havilah’s initial portfolio focuses on three solution areas where we see the greatest need and where our team’s expertise can deliver immediate value. These aren’t hypothetical offerings—they’re systems we’re actively developing and deploying with founding partners.

Health systems in low-resource settings often lack the data infrastructure to make informed decisions about resource allocation, disease surveillance, and service delivery. Meanwhile, shortages of specialists mean many patients never receive accurate diagnoses.

We’re building integrated health information platforms that connect community health workers, clinics, and hospitals into unified data ecosystems. Our systems capture patient data at the point of care, enable real-time monitoring of health indicators, track medical supply chains, and generate dashboards that help health system managers allocate resources effectively.

We’re working with a regional health authority in East Africa to implement an electronic medical records system serving 150,000 patients across 25 health facilities, with AI-assisted diagnosis for common conditions.

The Challenge: Smallholder farmers—who produce over 70% of the world’s food—often lack access to the information they need to make optimal decisions about planting, inputs, pest management, and marketing.


We’re creating mobile-first platforms that deliver personalized agronomic advice, market information, weather forecasts, and connections to financial services. Our systems use satellite imagery, weather data, soil information, and farm-specific inputs to generate tailored recommendations that actually work for small plots with limited resources.

Our platforms work on basic feature phones through SMS and USSD, ensuring accessibility even for farmers without smartphones or reliable data connectivity. We’ve integrated mobile money for seamless transactions and built in community knowledge-sharing features that leverage farmers’ own expertise.

Current Deployment:

We’re piloting with a farmer cooperative network in South Asia, providing agronomic advice and market linkages to 5,000 smallholder farmers growing staple crops.

Our learning analytics engines use AI to provide personalized feedback to students and identify where teaching approaches need adjustment. Everything is designed to work offline-first, syncing when connectivity is available.

Education systems need better data to understand student learning, target interventions, manage teacher deployment, and track outcomes. Remote and blended learning, accelerated by COVID-19, requires digital infrastructure many school systems lack.

We’re building education management information systems that give ministries of education, school administrators, and teachers the data they need to improve outcomes. Our platforms track student attendance and assessment results, identify students at risk of dropping out, support teacher professional development, and enable remote learning in low-connectivity environments.

We’re collaborating with an education ministry in West Africa to pilot a district-level learning management system serving 10,000 students across 30 schools.