> ## Documentation Index
> Fetch the complete documentation index at: https://docs.revcenter.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# People & Companies

> The workspace's accumulated lead databases — deduped, enriched, searchable

Every scan feeds two durable, deduped databases. This is where paid discovery turns
into a compounding asset: profiles enriched once are free forever after.

## People (`/contacts`)

Every candidate pulled by any of the workspace's scans, deduped by LinkedIn identity.

* **Search** by name, title, company, or metro; paginate 10/25/50 per page.
* Each row shows enrichment state, signal chips, and contact info where found.
* Click through for the full profile panel (experience, skills, education,
  certifications, contact).
* **The semantic pool**: every enriched person here is embedded into a vector index.
  New searches query this pool first — warm matches arrive instantly at zero cost.
  The bigger this database gets, the cheaper and faster every future search becomes.

## Companies (`/companies`)

Every firm surfaced by client-mode scans: logo, sector, headcount, domain, LinkedIn,
hiring signals, and org-chart depth (how many people are attached). Click a company
for its profile panel. Firms are deduped by LinkedIn identity across scans.