AI agents that show their sources

A language model that talks about a company without citing anything is worthless for a business decision. FirmGrid's agents therefore work over retrieved, timestamped material: they fetch public company pages, structure them, and trace every statement back to where it was found.

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What the agents actually do

The agents are bound to specific jobs rather than open-ended conversation. A web-intelligence run retrieves and structures information about a company. The Advisor proposes next steps from that material. CV analysis scores a résumé against role requirements.

Web Intelligence: targeted research on one company, with an evidence trail
Advisor: suggested actions grounded in what was actually found
CV Intelligence: structured reading of résumé content and layout
Smart Matching: candidate profiles against role requirements

Why the evidence trail is the point

The expensive failure mode in AI-assisted research is a fabricated detail delivered fluently. FirmGrid addresses that structurally rather than by promising it will not happen: anything not drawn from a retrieved source is not presented as fact. A claim without a citation is visibly marked as one, and every retrieved page carries the time it was fetched.

Where automation sensibly stops

The agents retrieve, structure and assess material — the decision about who to approach, who to hire, or what to base an offer on stays with you. That is precisely why the evidence trail is not a nice-to-have but a precondition: it is what makes a recommendation checkable at all. A system that does not permit that check has not removed the risk, only moved it onto the person using it.

Frequently asked questions

Can the AI invent details?

Web-intelligence results are shown with their source and timestamp so any statement can be checked. Free-form model output is presented as such, not as verified fact.

Are my searches used for training?

Your content is processed to answer your requests. The privacy policy sets out the details.