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Use case

Web research, sourced and verifiable.

Every record links to its source. Every batch comes with a QA sample. Every session has a process record. So you can actually trust what was found.

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Why GigAnywhere

The hard part isn't finding facts. It's trusting what came back.

Web research is high-variance work. Some workers are thorough and source-cite; others fabricate. GigAnywhere makes the difference visible up front.

Source URL per record Required for every row, enforced by checklist.
AI plausibility flags Catches obviously implausible values (titles that don't exist, phone numbers that aren't valid).
Process record See whether the worker actually used the data sources they cited.
Repeat-research bench Build a private team of researchers who know your taxonomy.

Common research jobs

  • Lead list building & enrichment
  • Market intelligence & competitor scans
  • County records & public document lookups
  • Vendor research & comparison shopping
  • Person of interest & org chart research
  • Briefing notes & deal prep
Recommended setup

Workspace template — “Lead list 200”

Acceptance criteria

  • 200 records, ICP filter applied
  • Each row has source URL + screenshot
  • Email format validates; phone NPA in service
  • QA pulls 10 random records for review

AI supervisor rules

required_columns: [name, role, company, email, phone, src_url]
target_rows_per_hour: 15
flag_missing_src_url: true
flag_implausible_email: true
on_task_domains: [linkedin.com, company-sites, news-search]
Recommended proof level: Managed Work — source-cited records, per-row checklists, and AI plausibility flags.

Research you can act on.

Every record sourced. Every batch QA'd. Every researcher rated.

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