Contact

Let's talk about how
FullCorpus AI can help your research.

Whether to request access, propose a partnership, or ask a question — the team responds within 48 business hours.

How to reach us

👤
Bernardo Soares Fernandes Founder · fernandes.bernardo.soares@gmail.com
📍
Porto Alegre, RS — Brazil FullCorpus AI

Topics we can discuss

  • Request early access to the software
  • Partnerships with research institutes or healthtechs
  • Academic collaboration and co-authorship
  • Use of FullCorpus AI in dissertations and theses
  • Commercial proposals and custom projects
  • Press and science communication
Send a message

Fill in below and we will respond within 48 business hours.

By submitting, you agree to receive a reply to the email provided.

✅

Message sent!

Thank you for reaching out. The FullCorpus AI team will respond within 48 business hours to the email provided.

In the meantime, why not learn more about the software or our story?

Frequently asked questions

Before reaching
out.

Is the software already available?

It depends on availability. Access is granted by request. Get in touch to check current availability and discuss your case.

Can I use it for my dissertation or thesis?

Yes, but by request. Get in touch describing your project — we will jointly evaluate the best way to make it work.

Do I need to know how to code to use it?

No. FullCorpus AI was built for researchers, not developers. No technical knowledge is required.

What is the usage model?

Conditions are defined case by case, in conversation with the team. Get in touch to understand how FullCorpus AI can fit your project.

Can I use it with my own data?

Yes. The tool processes data in general — documents, interviews, reports, articles. For sensitive data, we jointly assess appropriate precautions.

What are the cross-checking services?

We offer two types of verification: adequacy crosscheck, which verifies whether the produced content faithfully corresponds to the original corpus documents; and plagiarism crosscheck, which identifies textual similarity risks and citation adequacy in relation to sources.