Floio creates smarter AI by using private knowledge, custom RAG libraries, and API-first architecture. Intelligence improves through focus— not mass general knowledge and infinite data.
How Floio connects data
Inputs & profiles → Focused Floio AI engine → Connected apps & tools
1 · Inputs & private knowledge
Private knowledge / profiles
- Profile A corpus
- Profile B corpus
- Profile C corpus
Embeddings & indexing
Custom RAG database designed to feed different profiles.
2 · Focused AI engine
Focused AI engine
RAG retrieval layer + LLM (OpenAI · xAI · local) running on niche data instead of the whole internet.
3 · Outputs & connections
Floio API endpoint
Single API surface for each mind / profile.
Connected apps & tools
- Internal apps & dashboards
- External workflows & automations
- Google Sheets · CRMs · other APIs
Active Connection Examples
Ingesting real estate data, exposing focused data via Floio API, and feeding the Homeboy AI on the Cribz app.
A theological Profile library and LLM pairing run as a Floio mind, served through the Floio API into the Still App’s devotional/commentary text.