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Discovery & Multi-Agent Intelligence

Standard search engines are linear. They find what is indexed. WeCheck's Discovery Engine is different—it employs autonomous Multi-Agent Systems to investigate the open web actively.

What are Investigative Agents?​

In the WeCheck architecture, an "Agent" is a specialized AI component with a specific investigative mission. When you launch a scan, these agents work in parallel:

  • The Mapper Agent: Scans known social and professional networks.
  • The Deep-Web Agent: Probes unindexed forum archives, public databases, and news repositories.
  • The Relationship Agent: Extracts entities (people, companies, organizations) mentioned in the subject's footprint.
  • The Sentiment Agent: Performs Natural Language Processing (NLP) to understand the tone and context of public interactions.

The Discovery Loop​

Unlike a one-time search, WeCheck's agents perform a Recursive Loop:

  1. Find Handle: Locate subject handle on Platform A.
  2. Extract Signal: Find subject mentions Platform B or "Alt Handle."
  3. Branch Out: Follow the new handle/lead to Platform B.
  4. Validate: Cross-reference the data on Platform B.

Human-in-the-Loop Intelligence​

While our agents are autonomous in their search, WeCheck is built on a Human-in-the-Loop philosophy. We surface the connections but leave the final analytical judgment to your professionals.