Machine learning as a service for streaming data from connected devices.

What is

Build And Run Predictive Applications For Streaming Data From Applications, Devices, Machines and Wearables is a tool in the Machine Learning as a Service category of a tech stack.

Why people like

Hereā€™s a list of reasons why companies and developers use

Add a one-liner's Features

  • Classification & Anomaly Detection- With our machine learning algorithms and your time series data, we can get up to 99% prediction accuracy on the state of the sensor. Algorithms include neural network, random forest, support vector machine and others.
  • Streaming Data Infrastructure- We provide the infrastructure for your streaming data as a service including a highly scalable time-series database and analytics capabilities.
  • Analytics Across All Your Devices- Capture and aggregate data from all of your devices to perform analytics across the entire dataset.
  • Random Forest, SVM, Decision Tree, Node.js, Streaming Data's alternatives

  • Azure Machine Learning - A fully-managed cloud service for predictive analytics
  • Amazon Machine Learning - Visualization tools and wizards that guide you through the process of creating ML models w/o having to learn complex ML algorithms & technology
  • Amazon SageMaker - Accelerated Machine Learning
  • NanoNets - Machine learning API with less data
  • FloydHub - Heroku for Deep Learning

See all alternatives to