Causal AITurn your data into a clear road map for solutions, without the need for lengthy and expensive field trials. Causal AI identifies the factors that really influence outcomes – and helps you design interventions for maximum effect.
Causal AI is a type of computer science that helps us discover the underlying causes of a health or development outcome. It uses data on a range of factors to produce a map showing which factors directly influence outcomes, and which are less important.
Unlike other types of AI that only predict outcomes, our Causal AI software platform helps our partners get to the heart of why a problem is occurring – so you can design and test interventions in the lab to find the most effective one.
FEATURED
Maternal & Child Health | Causal AI