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A deployment pack is a pre-built, templatized module published by Cognite. Deployment packs provide standardized solutions for ingestion, contextualization, data modeling, and analytics. They are generalized and reusable across projects, follow best practices, and are thoroughly tested for reliability. Install deployment packs with the Cognite Toolkit using cdf modules add. To build your own modules, see Customizing modules.

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Data foundation

Deployment packs that establish core data infrastructure, models, and contextualization capabilities.

Foundation

Start a new production CDF project with best-practice access groups, extraction pipelines, data models, contextualization, search, and quality monitoring.

Foundation Demo

Demonstrate CDF end-to-end with Open Industrial Data — extraction pipelines, data model, contextualization, search, and quality monitoring.

Reliability and Maintenance Data Model

Data model for reliability and maintenance use cases.

Oil and Gas Data Model

Data model extension for oil and gas industry scenarios.

ISA Data Model

ISA-95 manufacturing data model extension.

P&ID Annotation

Contextualize P&ID diagrams by annotating equipment and connections.

CDF Entity Matching

Match and connect entities across different source systems.

Atlas AI Property Extractor

Extract structured properties from documents using AI.

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Applications

Deployment packs that configure Cognite applications for specific use cases.

InField Quickstart

Configure InField per location on CDM and IDM with instance spaces, access groups, and a location filter.

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Test and verify

Deployment packs for validating data quality and contextualization status.

Contextualization Quality Dashboard

Measure and visualize contextualization quality across assets, time series, maintenance, files, and 3D.

Qualitizer

Assess and improve data quality across your CDF project.
Last modified on September 24, 2026