Machine learning not only for developers
A set of useful tools for designers who need to sharpen their algorithms as well as for those who want a production Cloud environment to run and schedule all logics created.
Big Data for Historical Data
A complete database is the right starting point for developing each machine learning algorithm.
API and Websocket to access the data
Access historical data via APIs and real-time streaming data via a dedicated Websocket.
Libraries for the development of algorithms
Python and R libraries allow quick access to data and support the developer in design.
Scheduler for running algorithms
Not just development, but a scheduler to deploy scripts and run them periodically in the Cloud.