Question 1

Does Ridgeford Core train AI models on company data?

Accepted Answer

No. Ridgeford Core is built with strict Zero Data Retention (ZDR) architecture. Your documents, prompts, and team communications are never stored by model providers or used to train third-party foundation models.

Question 2

How does human-in-the-loop tool governance work in Ridgeford Core?

Accepted Answer

Whenever an AI agent proposes an action with external side effects—such as sending an email, modifying a spreadsheet, or invoking an external API—Ridgeford Core pauses and presents a clear approval card. The action is executed only after a human user reviews and approves it.

Question 3

How does the $50 introductory credit work?

Accepted Answer

Every new organization receives $50 in free usage credit upon registration. No credit card is required to sign up, explore the assistant, connect Google Workspace, and index company documents.

Question 4

What document formats does Ridgeford Core support for Knowledge Base RAG?

Accepted Answer

Ridgeford Core supports PDF, Word documents (.docx), CSV, Excel spreadsheets, Markdown (.md), plain text, JSON, and source code files, indexing them with semantic chunking and vector embeddings.