An analyst that shows its work.
Give DeepSieve a handful of names or URLs. It returns a structured intelligence table covering every institution, fund, and decision-maker it found — where every single cell can prove where it came from.
First, it learns who you mean.
Paste URLs or simply type names — “KKR & Co” works as well as a link. A classifier decides what each seed is, using the entity types your own Blueprint defines. Anything you paste is read first, so the research starts from what you already know rather than from a guess about who you meant.
Then it reads the web — properly.
For each entity, an autonomous research agent plans its own investigation: what to ask, where to look, what to read next. It works the public web — company sites, press coverage, announcements — with entities researched in parallel, and writes a long-form, citation-rich dossier as it goes. If a research stream ever goes quiet, the orchestrator reconnects and presses on; it never quietly settles for a thinner model.
Findings become a table, not an essay.
A second pass reads each dossier and extracts it into structured records — institutions, funds, people, and how they connect — against a strict schema. Empty fields aren’t shrugged off: targeted follow-up searches go out to fill the gaps, field by field, until the table is as complete as the public record allows.
Every cell keeps its receipts.
Nothing lands in your table as a bare claim. Every cell is written to the database alongside evidence rows — the exact source URLs that back it. A second pass then re-reads those sources against the claim and marks each cell: supported, contradicted, corrected, or simply not checked. You are told which is which, in the table.
A second AI checks the first one’s work.
Finally, a separate QA agent — one that played no part in the research — re-fetches the cited sources and asks a single question: does this page actually support what the table says? Every claim receives a confidence score and every entity a relevance score against your brief. The dials on the report page are this pass’s verdict.
And for the AI-native in the room…
Research you can audit.
The output isn’t a chat answer — it’s a table you can defend in a meeting, with the sources to prove it.