# Bearers of Fire

Bearers of Fire are the most innovative skills data ecosystems that shine the light and inspire others. 

They unite pioneering organisations that band together to make the future of learning and working happen!

They are based on Prometheus-X's use cases:

* [Personalised skills matching](/use-cases/skills/personalised-skills-matching.md)
* [Decentralised skills analytics](/use-cases/skills/skills-analytics-dashboards.md)
* [Personalised education](/use-cases/learning-traces/learning-analytics-to-personalize-education.md)

**Sponsors** describe precise needs they have that a skills data ecosystem can solve. \
AI, service and data providers unite to answer that need and deploy the data ecosystem with the Sponsor towards its students, pupils, citizens, employees and partners.

Bearers of Fire are selected by the Prometheus-X board to benefit from:

* top expertise to build your data ecosystem, its business and governance model
* credits to use the Prometheus-X services to operate your data ecosystem
* unique visibility at international level across many education related events

Join the program:

* be matched with the most relevant ecosystems to provide your data and services
* design the use case with the sponsor
* define the business model to access your services and data
* test the use case and start generating value

Our sponsors (and the list is still growing):

<figure><img src="/files/AjluLiXCB5csGcqkGgWC" alt=""><figcaption></figcaption></figure>

Check out some quick descriptions of our sponsors' projects:

{% content-ref url="/pages/IXiObVBkqEjh2V9jlc6m" %}
[Grande Ecole du Numérique](/use-cases/bearers-of-fire/grande-ecole-du-numerique.md)
{% endcontent-ref %}

{% content-ref url="/pages/FJxG2fNvQ0KrszuP8znr" %}
[Antares](/use-cases/bearers-of-fire/antares.md)
{% endcontent-ref %}

{% content-ref url="/pages/oEZRe3YDoahLerYwQwLC" %}
[Ile-de-France Region](/use-cases/bearers-of-fire/ile-de-france-region.md)
{% endcontent-ref %}

{% content-ref url="/pages/M9fo0cleuuwgkicB6i23" %}
[Sikt](/use-cases/bearers-of-fire/sikt.md)
{% endcontent-ref %}

{% content-ref url="/pages/o04VpZ2zpKtqhsQB99rd" %}
[Institut Mines Telecom](/use-cases/bearers-of-fire/institut-mines-telecom.md)
{% endcontent-ref %}

{% content-ref url="/pages/7aotb8drMY2jXFAqjaar" %}
[University of Lille](/use-cases/bearers-of-fire/university-of-lille.md)
{% endcontent-ref %}

{% content-ref url="/pages/dAg8RF6zfhnoPUmTUW2B" %}
[Edunao](/use-cases/bearers-of-fire/edunao.md)
{% endcontent-ref %}

{% content-ref url="/pages/lfS7Zyw8EAvyHDUsiGgR" %}
[Brest Business School](/use-cases/bearers-of-fire/brest-business-school.md)
{% endcontent-ref %}

{% content-ref url="/pages/4EXxGGulHWms3YhBbtJn" %}
[Cabrilog](/use-cases/bearers-of-fire/cabrilog.md)
{% endcontent-ref %}


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://dataspace.prometheus-x.org/use-cases/bearers-of-fire.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.