Cybus and Unified Inbox Pte. Ltd. (UIB) recently announced their collaboration of integrating UIB’s UnificationEngine™ intelligent Internet of Things (IoT) messaging platform with Cybus’ Connectware secure connectivity technology at CeBIT 2017 Exhibition in Hanover, Germany.

The partnership will allow easier and more secure machine to machine (M2M), human to machine (H2M), and machine to human (M2H) communications for manufacturers and operators of industrial equipment. This enables innovative industrial equipment manufacturers to provide their customers with data-driven, value-added services such as remote monitoring and predictive maintenance, making it secure and easy to acquire, provide, and use industrial data.

Cybus’ technology bridges the gap between manufacturing and logistics environments’ need for high security and the connected world of digital services. It acts as a translator between protocols and the management layer, which allows easy, precise, and controllable access by authorized data users.

Smart Messaging for true Industry 4.0 implementation

Cybus and UIB signing partnership at CeBIT fair grounds

“Cybus’ secure middleware enables factory operators to optimize their production while retaining full control of their data. We designed UnificationEngine to enable these same factory operators to remotely set up, control, and receive critical alerts and notifications from their production machines in real-time. The Connectware + UE solution for IIoT enables manufacturers to reap full benefits of industry 4.0, including remote monitoring and predictive maintenance on communications channels they already use” says Ken Herron, Chief Marketing Offficer at UIB.

UIB provides natural language communications (NLP) for IIoT machines & equipment. Operators can communicate with their machines through the communications channels they already use. Cybus’ Connectware + UnificationEngine solution can be easily adapted and developed for machinery, vehicles, sensors, and their components across verticals including discrete and process manufacturing, power plants, and logistics.