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DATA & AI PLATFORM

Transform industrial
data into trusted AI

Databricks provides the AI Data Intelligence Platform.
DeepIQ provides the engineering context that makes industrial AI trustworthy.

Together, DeepIQ and Databricks help industrial organizations
modernize historian data, contextualize engineering knowledge,
eliminate data silos, and accelerate AI initiatives without vendor lock-in.

Schedule a demo

Build AI on trusted industrial content

Databricks excels at managing enterprise-scale data and AI workloads.
DeepIQ adds the industrial intelligence layer that connects operational technology (OT), engineering technology (ET), and enterprise IT into a single, governed model.
The result is AI that understands your business—not just your data.
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Historian modernization
Move decades of historian data into Databricks while preserving engineering relationships, metadata, calculations, and operational context.
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P&ID Intelligence

Convert engineering drawings into structured knowledge that connects directly to Databricks data.
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Data Products
Deliver reusable industrial data products across operations, maintenance, engineering, and analytics teams.
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Agentic AI
Build AI agents grounded in engineering context instead of generic enterprise data.
customer-owned data

Your industrial data stays inside your Databricks environment.
Faster AI Deployment

Reduce months of manual data preparation. Accelerate AI readiness. Improve trust.
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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
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  • 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

Copy to talk about our partnership with AWS and how it benefits our customers.

Data bricks

AI Data Intelligence Platform
Lakehouse Architecture
Delta Lake
ML & AI
Unity Catalog
Data Governance
Analytics

DEEPIQ

Industrial Context Platform
Engineering Knowledge Graphs
Industrial Data Products
Operational Context
Business Context
Engineering Intelligence
Contextual AI

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.
Get DeepIQ on AWS Marketplace

Frequently asked questions

How does DeepIQ work with Databricks?

DeepIQ connects operational, engineering, and enterprise systems to create trusted, contextualized industrial data for Databricks. By combining industrial connectivity, data transformation, and engineering intelligence with the Databricks Data Intelligence Platform, organizations can build more meaningful analytics, AI applications, and operational workflows.
Why do we need DeepIQ if we already use Databricks?

Databricks provides a powerful foundation for data engineering, analytics, and AI. DeepIQ adds the industrial context needed to understand how equipment, processes, engineering drawings, and operational systems relate to one another. Together, they help transform fragmented industrial data into intelligence that engineers, operators, and AI applications can use.
How does DeepIQ integrate with Databricks Genie?

DeepIQ Biz Context can connect with Databricks Genie through the Model Context Protocol (MCP), bringing governed industrial business context into natural-language analytics. This helps users ask questions about operational data while incorporating the asset relationships and engineering context needed to interpret the results.
Can DeepIQ help modernize industrial historian data in Databricks?

Yes.

DeepIQ connects to industrial historians and prepares historical and real-time operational data for use in Databricks. It supports data cleansing, transformation, asset identity resolution, and contextualization while preserving important engineering relationships, enabling more reliable analytics, predictive maintenance, and AI.
Does DeepIQ require us to move our data into a separate proprietary platform?

No.

DeepIQ is designed to complement your existing Databricks environment without requiring a separate proprietary cloud ecosystem. Organizations can maintain control of their data while using DeepIQ to connect industrial systems, create reusable data products, and build the contextual intelligence needed for analytics and AI.
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