Geospatial consumer data and analysis.



Fraym uses advanced machine learning models to produce hyper-local consumer data and analysis for emerging markets. We produce unprecedented, neighborhood-level information on consumer power, demographics, social characteristics, behaviors, connectivity, and more. These insights help companies answer questions that are critical to success in frontier markets like, 'who is my best customer?', 'how can we reach them?, 'where should we focus go-to-market resources?', and 'what's the best way to optimize sales performance?'.

"Fraym's data was instrumental in supporting our expansion of digital payment products - it allowed us to understand demand and identify viable expansion opportunities within city neighborhoods and rural districts. We haven't had access to this type of data for our target markets before."

Frederica Pelzel

Director, Humanitarian & Development Data

Commercial Application

Financial Services

Fraym partners with global, tier-one financial service providers and fintech companies to transform expansion planning and locate concentrations of target consumers. Using dataFraym®, teams can interact with powerful consumer data, zoom-in on areas of interest, and make data-driven decisions.


dataFraym has been used to increase the sale of Solar Home Systems by over 2x. Fraym has teamed up with the Shell Foundation, and partners like Nithio and Odyssey, to break down market barriers and accelerate electrification in developing economies. This comprehensive initiative makes Fraym data accessible to the off-grid energy sector.


Fraym used ML-powered data to help the Teranga Gold Corporation assess the risk of poverty and vulnerability around mining sites in Africa’s Sahel region, and to illustrate the best ways to address the development needs of surrounding communities.



Interact with Fraym's powerful data and quickly visualize insights.


Leverage Fraym's geospatial data and expertise to quickly answer questions.

Data Layers

Bring Fraym data into your environment with technology agnostic delivery.


Map of the different main livelihood zones in Ethiopia

Understanding TB Risk in Pastoralist Communities

Map of Nepal showing concentrations of households with access to piped water

Expanding Access to Water Where it Matters Most: The Impact of Climate Change on WASH in Nepal

Map Showing change in under 18 prevalence from 2005 to 2016

Fighting for a Future Free of Child Marriage – How Hyper-Local Data Can Help Drive Results