CASE STUDYLeveraging demand data to improve energy access planning & unlock energy efficient solutions for African consumers
Leading organizations across telecommunications, energy, insurance, and more use Atlas AI to forecast where their consumers will be and how to reach them
Aquaya discovered the hardest to reach households in need of water access in Ghana
Liquid Telecom found underserved regions with their next internet subscribers in the DRC
CPCS estimated toll road users' ability to pay tolls based on historical consumer transport spending
Jaza Energy monitored the performance of their existing sites and scaled their market selection across Tanzania & Nigeria
GiveDirectly found over 50,000 people in the DRC for their cash payments programs and will now expand to the rest of Africa
MyAgro identified the best villages for their agriculture inputs program in eight African countries
Automate the intake of your enterprise data by easily integrating it on our platform which organizes and structures it for you.
Our platform supports your team's daily work, so you can focus on the decisions that matter. As you gain new insight, the platform learns alongside you.
Apply your new insights to transform manual and inefficient processes into solutions that solve complex business challenges.
Atlas AI's Proprietary Socioeconomic Fabric
Find and reach underserved customers in markets close to existing fiber and wireless infrastructure.
Target efforts to expand financial access and promote new value added services such as insurance and mobile money.
Improve your market selection process to scalably determine where to set up new energy sites and how to approach and optimize existing operations.