How It Works
We're organizing the world's equipment information, making it simple to share, analyze, and interpret.
Your Equipment
Capture and utilize the data produced by your equipment
  • Tagup specializes in connecting to any PLC-controlled or sensor-equipped equipment with Ethernet or serial (RS-232, RS-422, or RS-485) interfaces
  • Out-of-the-box compatibility with a variety of protocols (OPC, Modbus RTU/ASCII, DNP3, BACnet, etc.) and PLCs (Allen-Bradley, Mitsubishi, Siemens, etc.)
Tagup Industrial Gateway
Installation to online data in less than 30 minutes
  • Plug-and-play solution allows for simple on-site integration with existing systems
  • Equipment data is encrypted and transmitted to secure storage via WiFi, ethernet, or cellular data (Verizon 4G LTE)
  • Battery back-up guarantees full visibility of data in varying power conditions and allows for ‘last-gasp’ communications under full black-out conditions
  • For enhanced security, Tagup’s gateway has been engineered as ‘read-only’ to eliminate any outside control of the asset
Tagup cloud
Secure & scalable storage for all equipment data
  • All data is sent to Tagup's secure, private cloud using 128-bit AES encryption; the same security protocols used by financial institutions for sensitive transaction details
  • Unlike other providers, Tagup never deletes your historical data
  • Tagup servers are based in the United States and managed by Amazon Web Services. On-site, or out-of-country servers can be engineered on a case-by-case basis
Web-based platform
Easily access and share data across your organization
  • All data is viewable through a web-based application on desktop, mobile, or tablet
  • Tagup breaks down organizational silos by allowing for simple data sharing at variable permission levels
  • View and respond to failure predictions & track maintenance interventions
  • Configure alerts and messages to be sent out via SMS/email for instantaneous notification
Machine learning analytics
Patent-protected algorithms analyze data to predict failure
  • Machine operating modes and failure predictions are delivered using machine learning algorithms and artificial intelligence developed out of MIT’s Computer Science and Artificial Intelligence Laboratory
  • Unlike simple threshold alarms, machine learning algorithms detect hidden relationships between multiple variables to classify various operating states
  • Connected fleets of assets ‘learn’ from each other to predict future failure states