Pro+ or Addon Features

Kontainer DAM offers several in-house AI tools developed to manage simple tasks and get quicker results. As always, the tools are easy to set up, manage and use.

The current AI tools for DAM include:

Text generation & translation: for automated text generation, translation, object recognition, etc.
Facial recognition: used to find other images of a specific person, in conjunction with consent management
Search similar: searching for similar or identical images
AI tagging: Auto-tagging new assets added with either Kontainers in-house AI or through a third-party, such as Amazon

Find out more about Kontainer AI tools here. If you are looking for some inspiration or guidance, let Customer Success know.

Text generation & translation

Use your AI provider, such as Copilot, OpenAI, Gemini, Amazon, xAI, Anthropic, and Copilot Studio in Kontainer. We allow text generation and translation based on tagged data, as well as object recognition.

The configuration is simple and customizable.

Add AI provider

Start by adding your AI provider under Settings → Configuration → AI.

Adding AI provider in Kontainer DAM and PIM settings

You can choose Kontainer's Local AI from the Dropdown. This comes at an additional fee. Contact Support for pricing.

Kontainer runs a local LLM server loaded with Google's Gemma 3 model. More information about the model can be found here: https://huggingface.co/google/gemma-3-27b-it

The local LLM server and its loaded model do not transmit data externally, nor does it improve over time, as queries are not stored in any history. This means the model is used strictly as-is.

No data is shared with other customers or sent outside Kontainer's infrastructure when using the local LLM server with the Gemma 3 model.

Configure DAM fields

Go to Resources → DAM fields with AI settings available

Kontainer DAM fields' settings panel with the AI settings column highlighted

Set prompt

Add a standard or custom prompt depending on your needs.

If you select Generate automatically, the provided text is generated and updated when the file data changes.

AI image descriptions

When creating custom prompts, you can instruct the AI to "look" at the image and create a description using the code token {File content|file:content}
Example: look at {File content|file:content} and make an image description in German.

A few other prompt tokens are also available, so you can pull in more than just the file's content:

{file:name} – inserts the file's name
{file:created_at} – inserts the file's creation date
{file:content:{elementId}} – a scoped version of the content token that lets you reference the content of a specific element/field, rather than the file as a whole

Kontainer DAM field AI settings shown with the alternatives of standard and custom prompt settings

AI tag and field value generation

In addition to image descriptions, the AI can also generate tags and values for select fields based on your assets.

To configure this, open the AI text generation settings for the relevant field and choose your setup:

Instruction preset – Select "Tag" to use the built-in tag assistant, which automatically assigns the most relevant tags based on the asset's context. You can also switch to the Custom tab to write your own prompt.
Input values – Select which asset data the AI should use as context (file name, metadata, etc.).
Maximum amount of tags – Use the slider to set how many tags the AI may generate (1–50).
Only use existing options – Check this box to restrict the AI to your predefined tag list, rather than creating new ones.
Generate automatically – Enable this to have tags generated without manual triggering.

Facial recognition

Open an image in gallery mode and click the Facial recognition icon in the top menu
Ensure the right face is selected
Press Search

Image with model open in Kontainer's gallery mode. The face of the model is captured by the facial recognition tool and shows the option 'Search' underneath

Search similar

Right-click and image
Select the option Find similar images
Use the results slider to narrow or widen the search results

Kontainer DAM search results from a 'Search similar' search. Over the results, there is a slider with the option to narrow or expand accuracy. The image options menu is open on the left side, and the option 'Search similar' is highlighted

MCP integration possibilities

MCP (Model Context Protocol) lets LLM providers such as ChatGPT, Claude, Amazon Bedrock, Mistral and Copilot connect directly to your Kontainer instance, so an AI assistant can work with your DAM or PIM assets on your behalf.

Access is scoped to whichever user's credentials generate the connection, so the AI can only do what that user is permitted to do, whether that means downloading files, editing metadata or deleting assets.

Kontainer supports two ways to authenticate an MCP connection:

HTTP header authentication – using an existing or new JSON API token as a bearer token
OAuth 2.0 – authorizing a specific user's access, similar to logging in with an external account

Setting this up requires some technical or IT knowledge, and the exact steps vary by LLM provider. See the full MCP (Model Context Protocol) for Kontainer DAM & PIM guide for setup details.

AI tagging (legacy)

Once AI tagging is set up, it will automatically run on any new assets added in Kontainer.

To adjust the settings, go to Settings → Configuration → AI. Please be aware that changes will only affect assets uploaded after they are made.

Setup options

Our own Kontainer AI tagging is trained in-house. It is separate from Google, Amazon, etc., and no data will be shared outside of the compounds of your Kontainer. The feature is GDPR-compliant and doesn't compromise any of your images and files.

The AI tagging feature can also be integrated with a third-party supplier like Amazon. The Kontainer Customer Success team will help configure this. Contact them here for more information.

Kontainer DAM settings open on Configuration/AI and the options for 'AI result presets'. A second system screen shows and images of a pair of shoes open in gallery mode and AI Tag data highlighted in the image info panel on the right

For watermarking functions related to the EU AI Act, read our article here.

Semantic search

Semantic search lets your users find assets by describing them — "packshots of leather bags without people" — rather than by matching keywords. An AI model indexes every file in your library, and a second one interprets what the user typed, so results are returned on meaning rather than exact wording.

The feature is an add-on, currently in Beta, and is enabled per client by the Kontainer team. See the Add-on – Semantic AI Search tokens table further down for pricing.

For setup and configuration, see the Semantic Search for DAM guide.

AI – with Kontainer's AI

All prices below include access to Kontainer's built-in, GDPR-compliant AI Provider, which can be used to automatically generate:

Keywords and tags
Alt text
Descriptions and metadata
Other AI-assisted enrichment of digital assets and product data

Security & Compliance

GDPR-compliant AI solution designed for organizations with high data security requirements.
Customer data is not used to train AI models and is not shared with third parties for model development.
The solution is designed with a strong focus on security and compliance, making it suitable for organizations where data protection is a priority.

DAM – AI tokens

DAM Plan	EUR / month	USD / month
Professional (1 TB)	€110	$120
Premium (2 TB)	€200	$230
Enterprise (5 TB)	€335	$380

PIM – AI tokens

Number of SKUs	EUR / month	USD / month
0–1,000 SKUs	€35	$40
1,000–5,000 SKUs	€65	$75
5,000–20,000 SKUs	€200	$230
20,000–50,000 SKUs	€335	$380

Add-on – Semantic AI Search tokens

DAM Plan	EUR / month	USD / month
Professional (1 TB)	€135	$150
Premium (2 TB)	€270	$305
Enterprise (5 TB)	€400	$455

For more prices, features and add-ons, please see our general price list.

If you would like to add AI tools to your plan or have any questions, please contact Customer Success.

Explore the AI Features for PIM guide here.