The Venice Inference OSINT subsystem extends Batch Document Search beyond the private corpus: selected entities become structured, triaged public-source evidence trails.
The tools point you where to look — you decide what it means.
BDS helps you discover people, organizations, events, and relationships inside your private documents. The OSINT subsystem continues that workflow by probing selected entities against public and authorized external sources.
Instead of forcing an operator to manually open search engines, breach checkers, archive tools, username tools, and social platforms, OSINT gathers candidate evidence into a single review surface.
Open an entity card discovered during BDS processing: a person, company, agency, matter, witness, executive, vendor, or other research target.
Review candidate handles, emails, aliases, phones, domains, and related identifiers derived from the corpus or entered by the operator.
Run multiple public-source and enrichment checks in parallel, including account discovery, archive lookup, breach indicators, and search dorks.
Results are grouped as parent searches and child findings, preserving the chain of evidence so reviewers can inspect how each lead was produced.
OSINT uses the same evidence-reading discipline as BDS. The system points where to look. The reviewer decides what it means.
| Status | Plain-English meaning | Reviewer posture |
|---|---|---|
| signal | Strong external evidence that appears directly relevant and worth review. | Inspect source, provenance, and fit against the matter. |
| context | Real background information that may help frame the entity but may not establish significance by itself. | Keep as supporting context, not a conclusion. |
| noise | Weak, mismatched, duplicated, or misleading result. | Visible by default so reviewers can understand what was rejected. |
The OSINT storyboard should show the same mental model as the BDS education clips: channels, status colors, and human interpretation. OSINT is a new surface, not a new trust model.
A corpus figure appears with internal wikilinks and document-derived context.
Candidate identifiers populate in a clean table.
Specialist tools fan out while progress messages stream visibly.
Parent searches expand into child results. Signal, context, and noise rows preserve the chain of evidence.
The OSINT subsystem is intended for authorized research, compliance-sensitive investigations, legal document review, vendor diligence, security review, and other professional workflows where external public evidence must be gathered carefully and documented.
Venice Inference does not position OSINT as automated judgment. Findings are surfaced with provenance, status, and context so a qualified reviewer can decide what is relevant.
BDS organizes the corpus. OSINT extends selected entities into public-source evidence trails. Together, they reduce manual research drag while preserving review discipline.