Know when the evidence behind the thesis changes.
Coverage, competitive read and risk detection run continuously against the same corpus the thesis was written from.
A thesis is written once and then tested by events nobody is watching in one place.
The disclosure that would revise a thesis arrives on a schedule nobody controls.
What the thesis depended on lives in a note, a model tab and someone's memory.
A headline is not an update until it is read against the position it affects.
Alerts tell you something was published, not what it does to the position.
By the time the change is obvious, it is priced.
Nobody can say which piece of evidence the original conviction rested on.
The thesis, its evidence and its contradictions in one place.
Sanclarity is designed to hold the stated thesis alongside the evidence it rests on, and to surface new disclosure as an impact on that thesis rather than as a notification.
The initial work, with the disclosure it was built from retained.
The analyst reviews and challenges the output rather than manually reconstructing every exhibit. Designed to reduce analyst reconstruction — judgment, review and approval stay with the analyst.
Decision-ready, evidence-linked output.
Source → reasoning → structured output → evidence → analyst review. The intent is minimal analyst reconstruction, not an AI-generated paragraph that has to be rebuilt before it can be used.
One file per subject, assembled rather than written.
A position with the reasoning behind it, not a summary.
Intrinsic and market-based views with assumptions exposed.
Findings ranked by severity, each with supporting evidence.
Flows, counterparties and treatment set against the disclosure.
Changes that touch a stated assumption, not a notification feed.
An answer you cannot check is an opinion.
Every figure and finding keeps the disclosure it was read from, at the line level. That is what makes the output reviewable — a colleague, a committee or a regulator can open the source rather than take the conclusion on trust.
Users are responsible for reviewing and validating outputs before relying on them for material decisions.