What your team does with the intelligence comes back into it visibly, with the evidence attached, and only when someone approves it.
of team activity behind every suggestion
before a term is ever put forward as a suggestion
an admin accepts every one, or none happens
A thumbs-down on a report is not a dead end. Flagged reports are pulled into the quality queue that feeds our evaluation set.
The hallucination audit can be pointed at exactly the reports your analysts marked as needing work, rather than sampling blindly.
Terms your analysts keep escalating, entities they keep investigating, surfaced as suggestions with the reports behind them, so you can see why before deciding.
Every suggestion is one-click accept by an admin. No keyword, watch or filter changes because the platform inferred something on its own.
Escalations and investigations are visible to the whole team and dated by the act itself, so the record reflects when someone decided, not when a row was last touched.
The mechanisms on this page are real and you can watch them work: a thumbs-down moves a report into the quality queue, a repeated term becomes a suggestion with its evidence attached, an accepted suggestion changes your filters. What we will not claim is the curve: that the platform measurably improves the longer you use it. That needs months of closed-loop data we do not have, and it is exactly the kind of claim that is easy to make and impossible to show. We will describe the loop. We will not sell you the slope.
The fastest way to judge an intelligence platform is to point it at what you actually need to know.
