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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.

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Modernize legacy OT
infrastructure
Connect existing industrial systems and data without costly rip-and-replace projects.
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Build cloud-native industrial architectures
Create scalable, flexible data architectures that work across cloud, edge, and on-prem environments.
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Enable trusted AI
Give AI and agents governed, contextualized industrial data they can understand and use reliably.
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Connect engineering and operations
Bring engineering data and operational systems together in a shared, usable context.
Accelerate digital transformation
Turn fragmented industrial data into actionable intelligence without years of integration work.
Preserve data sovereignty
Keep control of where your data lives and how it’s accessed without being locked into a proprietary ecosystem.
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“It seems to me that the natural world is the greatest source of excitement; the greatest source of visual beauty; the greatest source of intellectual interest. It is the greatest source of so much in life that makes life worth living.”
David AttenboroughNatural Historian
  • 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

Better together

AWS

AWS IoT Core
Amazon S3
Amazon Bedrock
Amazon SageMaker
Amazon Redshift
Amazon EKS
Amazon QuickSight
Amazon Security Services

DEEPIQ

Industrial Connectivity (Reveal)
Industrial Data Products
Context-Aware Industrial AI
Engineering Intelligence
Business Context
Industrial Workflow Orchestration
Operational Intelligence
Zero-Egress Industrial Architecture

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

Does DeepIQ replace AWS services?

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.

Why would I need DeepIQ if we already use AWS?

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.

Can DeepIQ run in our existing AWS environment?

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.

Which AWS services can DeepIQ work with?

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.

How does DeepIQ support historian modernization on AWS?

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. 

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