Dureach AI workforce

Global B2B Data Engine

Global B2B Data Engine

Search, enrich, verify, and activate 450M+ B2B contacts from one data layer.

Dureach gives teams a large verified contact base plus the operational layer needed to keep that data usable. Instead of exporting lists from disconnected vendors, teams can search by ICP, enrich records, attach buying signals, and push qualified contacts directly into workflows.

Why it matters

  • Large verified dataset: Search 450M+ contacts with firmographic, technographic, and intent filters.
  • Operational data, not static lists: Records stay connected to enrichment, verification, and downstream workflows.
  • Compliance and hygiene built in: Data quality, usage rules, and audit visibility stay attached to the record.

What the data engine includes

Search and segmentation

Teams can filter by title, company size, industry, geography, revenue, technology stack, hiring signals, and other account traits. Natural-language style search can help operators get to a usable list faster.

Continuous enrichment and signal mapping

The engine can append company updates, role context, market signals, and related account data so sales and marketing are not working from stale lists. This is especially useful when building high-priority account sets or refreshing CRM records.

Verification, hygiene, and compliance

The platform can track freshness, suppress bad records, maintain audit trails, and support field-level governance for how data is used. That makes the data layer easier to trust across sales, marketing, RevOps, and legal review.

Common workflows

  • Build a target account list and push it directly into outreach
  • Refresh CRM records before a campaign launches
  • Combine contact search with enrichment, verification, and routing in one flow
  • Use intent and market signals to prioritize who gets contacted first

Business value

  • Faster list building and less vendor switching
  • Better personalization because the record carries richer context
  • Cleaner downstream execution because the data is already verified and easier to govern

The result is a search-and-activation layer that supports both scale and quality.