Sknwlkr gathers public and internal signal about people — for separations, due diligence, insider risk, or any workforce decision that needs source-attached documentation.
Not surveillance. Not scoring. Sknwlkr is a source-attached documentation assistant for workforce risk — helping teams verify facts and limit liability before they act.
Every claim cites its origin — LinkedIn, court records, public mentions, or uploaded HR documents. No black boxes.
Flags missing evidence before any memo or report is finalized, so legal can request the right records in time.
Scoped queries against verified subject data only. No rankings, no “loyalty scores,” no termination recommendations.
Views, exports, enrichment runs, and AI queries are logged by user and timestamp.
Every subject becomes a structured, source-attached dossier. Generate a Separation Readiness Memo, due-diligence brief, or custom report — all reviewed by legal before export.
Enter name, email, LinkedIn, role, and matter. Sknwlkr begins automated enrichment only against authorized sources.
LinkedIn, web search, court records, podcasts, and uploaded HRIS/performance docs are extracted and stored with attribution.
Choose a Separation Readiness Memo, due-diligence brief, or custom report — each summarizes verified facts and flags documentation gaps.
Legal marks the output finalized. Exports are logged, and retention rules apply automatically.
Sknwlkr is a legal-review preparation aid, not an employment decision tool. The architecture reflects that.