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DATA & AI PARTNER

Industrial
data is a
competitive
advantage

Connect the plant floor to enterprise intelligence. Bring together data,
analytics, and AI with operational, engineering, and business systems for contextual intelligence.

Schedule a demo

Your industrial data has value. Context unlocks it.

Industrial organizations generate enormous volumes of operational data, but much of their most valuable information remains disconnected.

Historians capture equipment performance. Engineering drawings describe how facilities work. Maintenance systems document asset history. Enterprise applications track business performance.

Yet these systems rarely share a consistent understanding of the same assets, processes, and operational events.

DeepIQ connects these environments and creates the engineering and business context needed to make industrial data meaningful.

Snowflake provides the platform to analyze that information and use it across enterprise applications and AI.

 
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Connect OT, ET, and IT
Bring operational, engineering, and enterprise information together to create a unified view of your assets, processes, and business operations..
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Modernize industrial historian data
Transform historical and real-time operational information into governed, analytics-ready data while preserving critical engineering context.
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Create reusable industrial data products
Build trusted, standardized data products that can be reused across reporting, analytics, machine learning, and operational applications.
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Connect P&IDs to operational information
Transform static engineering drawings into structured intelligence linked to equipment, instrumentation, and operational data.
Establish consistent asset identities
Resolve inconsistent equipment tags and identifiers to create a shared understanding of assets across engineering, maintenance, operations, and enterprise systems.
Enable context-aware industrial AI
Ground AI applications in trusted engineering and operational information to support more relevant, explainable results.
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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

Snowflake provides an enterprise platform for data engineering, analytics, governance, and AI.

DeepIQ complements that foundation with specialized industrial connectivity, engineering contextualization, and operational intelligence.

Snowflake

Enterprise data platform
Data engineering and transformation
Analytics and business intelligence
Data governance and sharing
Snowflake Cortex AI
Enterprise data applications

DEEPIQ

Industrial connectivity
Industrial data preparation
Engineering and business context
Asset identity and data lineage
Context-grounded industrial AI
Industrial data products and workflows

Ready to unlock more value from Snowflake?

Your data is connected. Now make it understand your operations.

DeepIQ brings engineering knowledge, operational relationships, and business context to your Snowflake investment, transforming disconnected industrial information into trusted intelligence for analytics and AI.
schedule a demo

Frequently asked questions

How does DeepIQ work with Snowflake?

DeepIQ connects operational, engineering, and enterprise systems and prepares contextualized industrial information for use in Snowflake. It adds industrial connectivity, data transformation, and engineering context to support Snowflake analytics and AI. Specific integration and deployment options depend on your architecture.
Why do we need DeepIQ if we already use Snowflake?

Snowflake provides the enterprise data and AI platform. DeepIQ adds specialized industrial capabilities for connecting historians, digitizing engineering drawings, resolving asset identities, and understanding operational relationships. Together, they help make industrial data more meaningful and useful for analytics and AI.
Can DeepIQ help modernize industrial historian data in Snowflake?

Yes.

DeepIQ connects historical and real-time operational information, supports data cleansing and transformation, and preserves important asset and engineering context. This prepares industrial data for use in Snowflake analytics and AI workflows without requiring organizations to replace their existing historian infrastructure.
How does DeepIQ improve Snowflake Cortex AI applications?

DeepIQ provides engineering and operational context by connecting assets, equipment, P&IDs, maintenance records, and process relationships into a governed industrial knowledge graph. This context can help applications built with Snowflake Cortex AI retrieve more relevant information, interpret operational data, and produce more explainable results.
Does DeepIQ require us to move our data into a separate proprietary platform?

No.

DeepIQ is designed to complement your existing Snowflake 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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LET'S BUILD SOMETHING TOGETHER

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