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RebelCore Docs

Welcome to RebelCore™

RebelCore™ helps organisations prepare governed business data and use it through a controlled AI workspace. These guides explain how to sign in, import and curate data, create projects, ask questions in Agent, and administer access.

Start here

Sign in Accept an invitation, set up two-factor authentication, sign in, and recover access.
Tour your workspace Find Datasets, Projects, governance areas, and administration tools.
Import data Upload source files and turn them into a dataset module.
Create a project Choose dataset modules, set project access, and open the Tree.
Use the Agent Select governed datasets, start a session, and ask questions in natural language.
Administer RebelCore Manage users and roles, review sessions, and export activity.

Typical workflow

  1. 1
    Import your data
    Upload Excel or CSV source files from Datasets.
  2. 2
    Create a module
    Review the import, add labels, and set its exposure level.
  3. 3
    Create a project
    Choose modules and control who can open the project.
  4. 4
    Prepare Agent data
    Curate the Tree and build a semantic dataset.
  5. 5
    Ask and review
    Use Agent, then review the available session activity.
  1. Import source data. Upload Excel or CSV files from Datasets.
  2. Create a dataset module. Review the imported data, apply labels, and choose an LLM exposure level.
  3. Create a project. Select one or more completed modules and decide who can open the project.
  4. Curate the Tree. Choose the data relevant to the work and build a semantic dataset.
  5. Ask Agent. Select the semantic dataset, choose a response mode, and submit a focused question.
  6. Review activity. Use the available Agent and administrative audit views to understand what happened.

Privacy and governance

RebelCore provides controls that help your organisation apply its own data-use policies:

  • Regional deployment information is visible from the Data Residency badge.
  • Roles and project access determine which pages, actions, projects, and datasets a user can open.
  • LLM exposure levels control whether Agent may return exact data, summaries, or advisory guidance.
  • Mask to AI can replace personal identifiers before AI processing.
  • Mask on interface controls whether authorised personal information is displayed in Agent.
  • Audit and Activity provide administrative records for review.

These controls support, but do not replace, your organisation’s legal assessment, policies, staff training, and data-handling procedures.

Find the right guide

Governance & access Understand how account responsibilities, roles, project access, exposure, and masking work together.
LLM exposure levels Compare Full, Limited, and Advisory-only output.
Agent privacy Use Mask to AI and Mask on interface.
Audit Review Agent conversations and their recorded activity.
Roles & permissions Control which RebelCore areas and actions each role can use.
FAQ Find answers to common account, data, project, and Agent questions.

Integrate with your application

The Integration section documents the public RebelCore API for authorised server-to-server use. It includes API-user setup, authentication, request and response formats, and error handling.