IT/OT CONTEXTUALIZATION

Turn disconnected industrial data into connected operational intelligence

Your operational data already exists. The challenge is getting historians, SCADA, engineering systems,
maintenance applications, enterprise systems, databases, and cloud platforms to work together.

DeepIQ connects the systems you already have and creates the context needed for operations, analytics, applications, and AI.

Your data is connected to your operation.
Your systems often aren't.

A single asset can have information spread across a historian, maintenance system, engineering database, P&ID, ERP application, and data lake.

Each system knows part of the story.

DeepIQ connects those pieces without requiring you to replace your existing systems or move everything into another proprietary platform.

The result is a connected view of your operation that people, applications, analytics, and AI can actually understand.

Connect OT & IT

Access data across historians, SCADA, PLCs, OPC servers, databases, enterprise applications, engineering systems, cloud platforms, and edge environments.

Establish consistent asset identities

Reconcile inconsistent equipment names, tags, identifiers, and hierarchies across systems.

Add operational context

Connect measurements and records to the equipment, processes, locations, documents, and business information they represent.

Build industrial knowledge graphs

Create relationships across assets, processes, systems, engineering information, and operational data.

Deliver trusted data anywhere

Make contextualized industrial data available to your existing cloud, analytics, applications, and AI environment.

Preserve data ownership

Keep control of your industrial data and deploy across cloud, hybrid, edge, or isolated environments.

From disconnected systems to connected intelligence

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Connect

Access information across OT, IT, engineering, cloud, and edge systems.

prepare

Clean, normalize, validate, and reconcile industrial data.

contextualize

Connect data to the assets, processes, locations, and business relationships it represents.

model

Build reusable industrial data products and knowledge graphs.

deliver

Make trusted information available to operations, applications, analytics, and AI.

scale

Reuse the same architecture across assets, facilities, and enterprise environments.

Customer stories

“The implementation of DeepIQ's DataStudio has significantly improved our data managemmet capabilities, allowing us to integrate and analyze vast amounts of data more effeciently. This has streamlined our operations and empowered our team to make more informed, timely decisions that align with our sustainability goals and regulatory requirements.”