Most analytics are based on parameters and condition-based algorithms. Customers need advanced, generalizable machine learning to model any asset in space and time and generate accurate predictions and optimizations. Our machine learning analytics applications predict the probability that assets will fail further into the future, with greater accuracy and confidence – extending your assets’ useful life and optimizing asset maintenance.
Our platform was built for a mobile world and real-time applications. Our applications are optimized for geospatial and time-series data streams, and assume a network of assets and people. With SpaceTime technology, even the most limited devices can perform powerful tasks, and machines and sensors can communicate directly with people in the field to create a “short loop” for action.
Asset-intensive, always-on businesses are investing in billions of connected machines, sensors, and other devices. Industrial equipment manufacturers offer platforms that only work with their own machines. SpaceTime connects to the legacy devices you have now and will connect to what you may buy in the future, regardless of vendor. Our platform is device and protocol agnostic.
Our platform and built-in expertise allow us to configure applications for specific customers and use cases in less time and less expensively than competitors. That advantage multiplies as your needs grow and we expand your applications. No rip and replace, just business-driven, bottom line thinking.
The Warp 6 platform makes it cost-effective to address an immediate pain point in one facility or point of operation, then deploy later across all of your assets and workforce for additional return on investment.