LyraMind maps the assumptions shared across positions, sectors and strategies, so hidden thesis concentration becomes visible. One sentence about capital spending can sit underneath a chip designer, a network vendor, a power-equipment maker, a data-centre REIT and an independent power producer at once, in four different sectors, which is exactly why a sector view can miss it.
proof.synthbook. None of it is observed customer assets, a real
fund, or live evidence.
$126.9M of that belief-linked exposure sits outside Information Technology.
This is exposure that depends on the belief, not an estimate of what would be lost. Direction is not modelled: a real book holds shorts and hedges against the same belief, so no figure here says which way the money moves. Exposure is reported gross, never net, if the assumption under a short breaks it matters exactly as much as one under a long, so belief exposure nets nothing. There is no blended concentration score: position count, sector spread and exposure share are kept apart, because a 0-100 number becomes the thing a risk committee argues about instead of the thing it is about.
LyraMind shows the belief connecting those positions, the evidence supporting or challenging it, and the decisions that rely on it.
Monitoring answers questions about positions you already hold. The harder question is the one you did not think to ask, where a belief you already rely on shows up somewhere you are not looking.
A management promise, a decision record, an open issue and a filing passage are all addressable in one pass, so “when did they first commit to that number?” is answered from the record with a date, rather than from a paragraph that happens to mention it.
The unit of search is the assumption, not the ticker. That returns the set of decisions exposed to a belief, including the ones nobody would have thought to check, because they sit in another sector or another strategy.
Where coverage does not extend, LyraMind says so rather than returning a confident-looking nothing. “We checked and found nothing” and “we checked nothing” are different sentences and are shown as different sentences.
Discovery is the newest surface described on this page and is being built out with design partners; coverage depends on the sources a firm connects. We describe it here as designed, and we will say when it is generally available rather than before.
A risk system reports positions across sectors and calls the book diversified. The belief graph asks a different question, and its most useful answer is often about disagreement rather than exposure.
A belief only becomes interesting as a shared object once more than one position rests on it. LyraMind reports the count, the sector spread and the exposure share separately, and shows how much of the book depends on that belief, before it is tested, not after. It does not forecast what a break would cost: direction is not modelled.
The same assumption recorded under seven positions can carry seven different states, because seven analysts maintained them separately. That is not noise to normalise away, one analyst has already marked a belief weakening and six have not, and nobody could see that from a per-position screen.
Built from the same three records: proposed, decided, resolved, aggregated across desks. Reported only above the sample floor, and reported as counts below it.
One query against the record rather than an email thread. The evidence, the proposal, the decider and the outcome are all attached, and none of them was overwritten along the way.