Industrial intelligence
to the edge.
Connect remote operations, contextualize industrial data, and enable AI where your business operates.
DeepIQ and Armada bring together industrial data intelligence and edge infrastructure to help organizations turn disconnected operational information into actionable intelligence—even in remote and connectivity-constrained environments.
Industrial AI shouldn't depend on a perfect connection.
What DeepIQ + Armada makes possible.
- Cross-browser optimized - FF, Safari, Chrome, Edge, Opera
- Fully Responsive design - perfect on any device
- Multi-language ready - everything in our modules is translatable
- Retina image support for high-density pixel displays
- Flexible - Customize font and color scheme to fit your brand
- Great documentation - good for new or legacy users
- Professional support - we love what we do and who we do it for
- Many header- / footer-layouts and loads of easy-to-use modules
Ready to bring intelligence closer to your operations?
Connect industrial data, edge infrastructure, and AI to turn remote operational information into engineering intelligence.
Frequently asked questions.
Armada provides the infrastructure for distributed computing and connectivity. DeepIQ provides industrial data contextualization, helping organizations connect information from operational, engineering, and enterprise systems so it can be used by analytics and AI applications.
Armada's edge infrastructure is designed for remote environments. DeepIQ can support distributed data architectures, with specific local processing and synchronization capabilities depending on the deployment configuration.
Not necessarily. The architecture can be designed around operational, security, and data-sovereignty requirements. The location of processing, storage, and AI workloads depends on the selected infrastructure and deployment.
DeepIQ supports integration with industrial and enterprise information sources, including historians, SCADA, PLCs, engineering systems, databases, and cloud platforms. Connectivity depends on available interfaces and system configurations.
Potential applications include remote asset monitoring, production analytics, predictive maintenance, equipment intelligence, and industrial AI workflows that benefit from processing data closer to its source.
