SenX Testimonials

"The data we collect is geolocated and changes several times a day. They must allow us, among other things, to estimate the time it takes to fill the containers or to assess the risk of fire. We, therefore, opted for Warp 10 mainly for its ability to manage and analyze spatio-temporal series effectively."

"We chose Warp 10 because it is an Open Source solution that has many deployment possibilities, a library of several hundred time series Machine Learning prediction models available, a development studio and a fast web interface for developing case studies."