International Clients
Development analytics for the World Bank across many countries, production disease-forecasting AI with UNICEF and the Wellcome Trust, and geospatial intelligence in fragile contexts — on five continents.
Global Proof
The record →Multi-Country Delivery
Nighttime lights, agriculture, infrastructure
Multilateral institutions, research universities, and development banks — NLT brings data engineering, geospatial analytics, and production AI to programs that operate where data is hardest to get.
World Bank Group
International · Many CountriesNighttime-lights, agriculture, and infrastructure analytics across many countries and five continents — turning satellite and open data into economic and development insight where ground data is scarce.
UNICEF · Wellcome Trust · UC San Diego
International · Health AIThe DIRE deployment — a production AI/ML model on the nltIMPACT-GlobalHealth variant forecasting dengue and malaria outbreak risk, built with UNICEF, the Wellcome Trust, and UC San Diego.
King Abdulaziz University
International · ResearchUrban heat island analysis in Saudi Arabia — remotely sensed land-surface temperature research at campus and city scale.
3ie · BOAD
International · DevelopmentAnalytics and evaluation for the International Initiative for Impact Evaluation (3ie) and the West African Development Bank (BOAD) — evidence for international development programs.
Fragile & Emerging Contexts
InternationalGeospatial and big-data socioeconomic analysis in fragile contexts — including work in Yemen, Nepal, and Burkina Faso — supporting decisions where conventional data cannot reach.
Featured Past Performance
International clients →Development analytics across many countries
NLT delivers nighttime-lights, agriculture, and infrastructure analytics for the World Bank across many countries and five continents — turning satellite and open data into economic and development insight where ground data is scarce.
Scope a Development Program
World Bank delivery, production health-intelligence AI, and geospatial methods proven in fragile contexts. Tell us the program and the geography.