Try out our first product - Get urban location data with
a fingertip into your analytics process
Combine location data with detailed time series analysis
Demand
Prediction
Mobility Providers and location-based businesses use the live and historical data to improve their demand prediction. Data can be mapped to POIs. Data used in Neural Networks and various Time Series Models.
MOBILITY | RETAIL
Network
Simulation
Power suppliers receive historical data and average values on hourly and daily basis for city areas. Peak points improve modeling for allocation of energy, EV charging stations and other location decisions. Monte Carlo and Optimization Simulation are run quickly.
ENERGY | EV CHARGING | MOBILITY | LOCATION DECISION
Live
Monitoring
The live popularity and historical data can be used to determine where in a city many people come together. In combination with data on COVID-19, the spread effect of the virus can be deduced and the influence of lockdown measures can be determined.
ANTI CROWDING | COMPETITOR TRACKING | CONSUMER APS
We are open source - Make a difference and develop the
Kuwala API together with us
Our Vision
Data gathering takes a long time, data talents are in high demand and the data volume will increase by more than 300% in the next years. It is our vision to offer external data sources in a clean and easily integrable way to accelerate the data gathering process for data science. We also know that this is a huge task due to the variety of internal and external data formats and architectures. That is why we need your help! Support our open source project to facilitate data integration for data teams worldwide, and to minimize the fail rate in data science projects for companies.
Kuwala
Grotheer GbR
c/o Factory Works GmbH
Rheinsberger Str. 76/77
10115 Berlin
Germany
© Kuwala 2021, all rights reserved