AI Research Agent
Gathers and summarizes — grounded and cited.
A research AI agent does the digging: it pulls information from your connected tools and enrichment sources, cross-checks it, and hands you a grounded, cited summary instead of a wall of tabs. LiminaHub keeps it honest — it cites where each fact came from and never invents numbers.
What it handles
- Compiles company, market, or contact research on demand
- Enriches a list of companies or people with real data
- Summarizes long documents and threads with citations
- Cross-checks facts across sources before reporting
- Keeps findings in a searchable business memory
Tools it uses
- Lusha
- ContactOut
- Gemini
How the ai research agent works
- 1Ask a research question in plain English.
- 2It gathers from your connected tools and enrichment sources.
- 3It cross-checks and drafts a summary with citations.
- 4You get a grounded answer, saved to memory for next time.
In practice
Prepping for a partnership call
Before a call, you ask it to brief you on the other company. It enriches the firmographics, pulls recent signals, cross-checks, and hands you a one-page summary with sources — so you walk in informed instead of skimming their homepage.
Questions
Does it just make up facts like some AI tools?
No — it grounds findings in your connected sources and cites them, and it's built to say 'I don't know' rather than invent. The facts are computed from real data, not the model's imagination.
Where do the results live?
In a searchable business memory, so the next time you need the same research it's already there.
Related agents
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