IntelligenceBox vs NotebookLM Two ways to use AI on your documents.
Compare where processing runs, how sources are organized and how each product fits your workflow.
An AI notebook in the cloud, or AI that stays inside your network?
NotebookLM supports research and content creation from notebook sources, including shared use. IntelligenceBox combines local AI with assistants, workspace tools and configurable integrations.
NotebookLM
Research and content from sources · Google cloud
- Answers grounded in notebook sources
- Audio and video overviews, mind maps and presentations
- Shared notebooks with viewer and editor access
- Enterprise edition with administrative controls
IntelligenceBox
Works on your documents · inside your network
- Local models running inside your network
- Document analysis and configurable assistants
- Workspace tools and external integrations
- Documents, presentations and spreadsheets to review
The choice depends on deployment, integrations and workflow requirements.
Point by point
Capabilities vary by edition and configuration. Google now documents its enterprise offering as Gemini Notebook Enterprise.
Where the data lives
NotebookLM
Google cloud
IntelligenceBox
Local Box; external services when enabled
Privacy
NotebookLM
Data controls depend on the edition
IntelligenceBox
Local processing with local models
Links between information
NotebookLM
Questions across notebook sources; mind maps
IntelligenceBox
Relationships extracted through configured analysis
Data organisation
NotebookLM
Notebooks, sources, notes and data tables
IntelligenceBox
Folders, projects and extracted metadata
Answer reliability
NotebookLM
Source-grounded answers with citations
IntelligenceBox
Document retrieval with source references
Live plant data
NotebookLM
Verify support for your industrial source
IntelligenceBox
Through configured industrial integrations
What it produces
NotebookLM
Reports, audio/video, presentations and tables
IntelligenceBox
Documents, presentations, spreadsheets and visualizations
At what scale
NotebookLM
Shared notebooks; Enterprise administration
IntelligenceBox
Shared workspaces with roles and permissions
Why IntelligenceBox makes the difference.
Three capabilities to assess against your team’s requirements.
It understands the connections
Configured document analyses can extract relationships between entities, manuals and technical data, adding context for retrieval.
It organises the information
Choose the analysis suited to each folder to extract dates, codes and values. Review the results before using them in your processes.
Answers you can check
Source references help you verify retrieved information. Model output still needs review, especially before operational decisions.
Choose based on where processing must run, which systems need to connect and how your team will verify the results.
Let’s start with your work. See what AI can do.
Tell us about a task your team handles. We’ll show you how to approach it with IntelligenceBox, from documents to the tools you use every day.