Planning the search
Agents built on your research ontology that get more accurate with every run, with every finding sourced and scored.
These are seven examples. Build specialized agents for any research workflow on the Nimble platform and run them in your own tools.
Run the same question here and in your current tools.
| AI assistants | Search APIs | Analysts | Nimble | |
|---|---|---|---|---|
| Completeness | Top results only | One shared index | A few names | Crawls the sources your thesis needs |
| Real-time | Often stale | Last index refresh | Last check | Live at query time |
| Auditability | Rarely traceable | Citations | Notes and inboxes | Sources, excerpts, confidence, search plan |
| Token cost | Reads raw pages | Starts from zero | Analyst hours | Parsed data, falls each run |
On names you know.
A Nimble engineer maps your tickers, sources and formats.
Through Nimble's API or MCP, alongside or instead of your current provider.