Microsoft Azure AI integration with Kontainer DAM & PIM

Description

Build AI on Azure with your own product data and assets

Microsoft Azure AI brings models, agents and tools together in an enterprise platform for building AI solutions. At its core is Microsoft Foundry, where organizations can choose from more than 11,000 models, build AI agents and manage security and governance in one place.

A model does not know on its own which products you sell, which descriptions are approved, or which images and documents may be used where. That knowledge already lives in Kontainer.

When Azure AI is connected to Kontainer DAM & PIM, your apps and agents can retrieve product data, metadata and files through the Kontainer API or MCP – without copying the content into yet another system.

The result is AI solutions built on approved content and up-to-date product data, running in the Azure environment your organization already uses.

Benefits

Why integrate Azure AI with Kontainer?

✔ Choose the model that fits the task
Microsoft Foundry gives access to models from Microsoft, OpenAI, Mistral and Meta, among others, so you can match model to use case instead of locking into a single vendor.

✔ Kontainer as your Single Source of Truth
Let agents and apps work with the same product data and approved files as the rest of the organization, instead of a copy that quickly goes out of date.

✔ Agents that can look things up in Kontainer
Foundry Agent Service can connect to an MCP server as a tool, so an agent can retrieve information from Kontainer when a task requires it.

✔ Control and governance
Foundry Control Plane and Content Safety provide oversight and guardrails around your AI solutions, so they can scale responsibly.

✔ Build in your own Azure environment
Develop and run the AI solution in the Azure environment your IT team already knows and manages.

✔ Less manual work
Avoid exporting, copying and uploading product information and files between systems every time an AI solution needs them.

Features

How Azure AI and Kontainer work together

✔ Connection via the Kontainer API
The Kontainer REST API makes it possible to retrieve and update product data, metadata and file information from solutions built on Azure, for example in Azure Functions or an app.

✔ MCP for Foundry agents
With the Model Context Protocol, an agent in Microsoft Foundry can use Kontainer as a tool and access DAM and PIM data without custom development for every individual agent.

✔ Product data from PIM
Use product names, descriptions, specifications, categories and variants as the basis for AI-generated content, search and answers.

✔ Digital assets and files from DAM
Give AI solutions access to images, videos and documents, along with the tags and metadata that make them easy to find and use correctly.

✔ RAG with Foundry IQ and Azure AI Search
Product texts and metadata from Kontainer can feed a knowledge base that models draw on when they answer. This gives more precise answers grounded in your own content.

✔ OpenAI models via Azure
Use Azure OpenAI in Foundry Models if you want to work with OpenAI models in your Azure setup.

Architecture

Kontainer as the knowledge layer in your Azure architecture

An AI solution on Azure typically consists of three layers, and Kontainer has a natural place in the first:

• Data and content
  Kontainer DAM & PIM holds the approved files, product data and metadata that the rest of the solution builds on.
• Knowledge and search
  Relevant content is retrieved via the API, MCP or a knowledge base in Foundry IQ and Azure AI Search, so the model gets the right context.
• Models and agents
  In Microsoft Foundry you choose the model, build agents and manage security, observability and access.

This separation lets you swap models, add new agents or introduce new use cases without moving your content. Kontainer remains the place where product data and files are maintained and approved.

Use Cases

What can you build with Azure AI + Kontainer?

• Internal product advisor
  An assistant that answers questions about your range based on PIM data, and can point to the approved images and documents in DAM.
• Bulk enrichment of product data
  Automated jobs that categorize, summarize and suggest missing product texts across large product catalogs.
• Tag and alt text suggestions
  Models that can understand images can suggest descriptive metadata and alt texts for digital assets, which an employee then approves.
• Multilingual content at scale
  Generate and adapt product texts for multiple markets, starting from localized data.
• Product assistant for webshops and portals
  A customer-facing assistant that answers product questions based on up-to-date, approved data.
• Agents across systems
  Foundry agents that combine data from Kontainer with ERP, CRM and other business systems in the same workflow.

Support

Get started with Azure AI + Kontainer

The right setup depends on which data and workflows your AI solution needs. Contact our support team for help with setup, customization or best-practice advice.

You can write to us at support@kontainer.com

Read more about the Kontainer API and MCP for Kontainer DAM and PIM.

See Microsoft’s documentation on connecting Foundry agents to MCP servers.

For EU AI Act requirements, see Labelling AI-generated content in Kontainer and the EU AI Act (Regulation (EU) 2024/1689).