CLOUD PLATFORM
Modernize industrial operations
Operational data spans historians, PLCs, SCADA systems, enterprise applications, and decades of legacy infrastructure.
DeepIQ bridges those environments to AWS, allowing organizations to modernize at their own pace while preserving security, governance, and operational continuity.
Cloud transformation in industrial environments is different.
Critical operational systems can't simply be migrated overnight.
Engineering knowledge remains trapped in drawings and documents.
Operational data spans historians, PLCs, SCADA systems, enterprise applications, and decades of legacy infrastructure.
DeepIQ bridges those environments to AWS, allowing organizations to modernize at their own pace while preserving security, governance, and operational continuity.
infrastructure
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- 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
Better together
AWS
DEEPIQ
Ready to put DeepIQ to work on AWS?
Deploy DeepIQ directly through AWS Marketplace and start turning disconnected operational, engineering, and enterprise data into trusted industrial intelligence while leveraging your existing AWS infrastructure and cloud investment.
Frequently asked questions
No.
DeepIQ complements AWS rather than replacing it.
AWS provides the cloud infrastructure, storage, analytics, machine learning, IoT, and generative AI services. DeepIQ provides the industrial connectivity and contextual intelligence layer that connects operational technology, engineering information, and enterprise data to those services.
Together, DeepIQ and AWS create a more complete foundation for industrial analytics and AI.
AWS provides powerful cloud and AI capabilities, but industrial data often remains fragmented across historians, SCADA systems, PLCs, engineering drawings, maintenance applications, and enterprise systems.
DeepIQ helps organizations:
- Securely access industrial data across OT and IT environments
- Resolve inconsistent asset identities across systems
- Connect engineering drawings to live operational data
- Create reusable, governed industrial data products
- Build contextual knowledge graphs
- Ground AI applications in trusted operational context
DeepIQ makes industrial data more understandable and usable across the AWS ecosystem.
Yes.
DeepIQ can be deployed within a customer's existing AWS architecture and use the organization's preferred storage, compute, security, and governance services.
Customers can continue using their established AWS accounts, data lakes, networking standards, access controls, and operating models without introducing a separate proprietary cloud environment.
DeepIQ can support architectures that use services such as:
- Amazon Simple Storage Service
- AWS IoT Core
- Amazon Elastic Kubernetes Service
- Amazon Bedrock
- Amazon SageMaker
- Amazon Redshift
- Amazon Athena
- AWS Glue
- Amazon QuickSight
- AWS Identity and Access Management
- AWS security and monitoring services
The specific architecture depends on the customer's existing environment, use case, security requirements, and preferred AWS services.
DeepIQ can extract historical and real-time data from industrial historians, transform and validate it, and deliver it into the customer's AWS architecture.
The process can preserve important operational information such as:
- Asset hierarchies
- Tag relationships
- Engineering metadata
- Calculation logic
- Time-series quality
- Data lineage and provenance
This helps organizations modernize historian data without reducing it to disconnected time-series values.
