Collects and transforms spatio-temporal datasets from various sources globally, allowing users to also upload their own datasets
Applies predictive models using ML algorithms, improving the accuracy and reliability of the forecasts by finding correlation & causal relation between all the datasets, learning with time
Displays actionable insights with odds on a personalised and real-time updated self-service interface, enabling users to virtually travel through different scales of space and time
BACKED BY U.S. TECH ACCELERATOR
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