Leads sourced, cleaned, and routed on their own
Most teams do not have a lead problem. They have a list problem. Engines turn raw sources into records that are ready to work the moment someone opens them.
From raw source to assigned owner
Follow an example run from public records to CRM routing. Counts are illustrative; available sources and data fields vary by market.
- County
- Bexar, TX
- Record type
- Probate + Tax delinquent
- Window
- Last 90 days
- County recordsPublic filings scanned48,210
- Records foundMatched your criteria12,480
- CleanAddresses normalised11,902
- EnrichOwner, phone, mailing11,902
- DeduplicateDuplicate parcels merged9,347
- ScoreGraded A and B2,118
- Route to CRMAssigned to owners2,118
Every stage, configured to your market
Public record sourcing
County and public data sources pulled on a schedule you set, in the jurisdictions you actually work.
Data cleanup
Addresses, names, and phone numbers normalized into a consistent shape before anything downstream sees them.
Enrichment
Contact details and ownership context appended so a record arrives workable rather than raw.
Deduplication
Matched against everything already in your CRM so nobody works a lead a colleague is already on.
Lead scoring
Ranked against your own criteria for fit and intent, not a generic vendor score.
Routing
Assigned by territory, capacity, or round-robin, then handed to the agent or person who works it.
Custom scrapers
When a source matters to your business and no integration exists, we build the collector for it.
Turn your sources into a working pipeline
Tell us which sources matter in your market and we will scope the engine around them.