We are on a mission to make industrial data useful so manufacturers can rapidly and securely scale their Industry 4.0 projects from pilot to enterprise-wide production.
Early adopters of digital transformation recognize that industrial data – or the operations data coming from machines, processes, and products on the plant floor – contains critical insights. More users and systems want access to this data in real-time to convert it into useful information they can act on, like predicting machine failure, preventing downtime, and improving product quality. However, one major issue has slowed progress: The existing data infrastructure cannot support the vision of Industry 4.0.
Raw operations data lacks context, standards, and correlation. And operations data without context is virtually useless to a user in another business function who needs to understand and analyze that data. To address this problem today, many IT and data science teams spend 80% of their time curating, integrating, and preparing data for analysis rather than actually analyzing it. Engineers write custom Python scripts for each integration. These are hard to maintain, time-consuming, and often insecure.
To solve this problem, HighByte developed the Intelligence Hub, an Industrial DataOps solution purpose-built for industrial data. HighByte Intelligence Hub is edge-native, running on a user’s platform-agnostic hardware of choice. The solution connects to data sources and consuming applications over secure open standards, models this data into useful information, and then manages the flow of this information to all the applications that require it. The software offers a code-free UI. The solution is easy to deploy and maintain across the enterprise using multi-hub configuration and a federated architecture.
Today, HighByte Intelligence Hub is deployed in 20 industrial vertical markets and 24 countries and counting.
