> For the complete documentation index, see [llms.txt](https://incubator.ersilia.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://incubator.ersilia.io/resources/partner-with-us.md).

# Partner with us

Support the AI Incubator

If you are an individual or organization interested in collaborating with or supporting the AI Incubator, there are several ways to get involved:

1. **Become a sponsor.** Sponsor the program as a whole, a specific component of it, or the participation of a particular group or cohort.
2. **In-kind and infrastructure support.** Contribute resources such as software licenses, cloud or compute credits (e.g. Anthropic credits), or other tools that participants and mentors can use throughout the Program.
3. **Scientific or technological partnership.** Join as a mentor or AI expert, offering punctual support and guidance on specific projects or technical challenges.
4. **Network and dissemination.** Help us reach a wider audience by sharing the Program within your network, community, or organization.
5. **Interns and volunteers.** At Ersilia we have a track record of working with interns and volunteers, and we remain open to this kind of collaboration as well.

If any of these resonate with you, please reach out to <ines@ersilia.io> — we'd love to explore how we can work together.

You can also contribute to Ersilia's work by making a donation [here](https://ersilia.io/contribute/).

Thank you for the support!


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# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

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

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://incubator.ersilia.io/resources/partner-with-us.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

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.