A fast, low-cost approach to quantifying IIoT & Analytics Value.
Our Advanced Projects Team can quickly identify your data resources, gaps, and opportunities for predictive analytics. We can implement single-asset or low-volume deployments quickly to demonstrate and quantify the value of both IoT and predictive analytics for your equipment. This low-risk approach ensures a larger investment in digitization and analytics delivers a strong return.find out more
Secure, cloud-based equipment data storage. Eliminate data silos and deploy analytics at scale.
The Asgard Data Platform provides a common data structure for any type of equipment data. Everything from streaming sensor data to maintenance reports are securely stored and made available to authorized users. Built on established database technologies, the platform enables our analytics and enables your own data science teams to easily access streaming and historical equipment data.find out more
Equipment machine learning at scale
Our analytics, machine learning methods developed by our team at MIT’s AI Lab, reduce unplanned downtime. They have three core capabilities: anomaly detection, operating mode classification, and, for special projects, accurate failure prediction. For qualified equipment, our analytics can predict what equipment will fail and when.find out more
The ultimate industrial equipment API
For data science teams or developers looking to extend the functionality of the Tagup platform, we offer partners and customers a well-documented RESTful API. This API can be used to access streaming sensor and equipment data on demand. Data scientists no longer have to spend time managing datasets or running batch analytics: the developer API enables streaming analytics on a standardized data model.find out more