New business registration leads, straight from the registries
Every new company starts with a public filing. State and county registries record the entity name, formation date, registered agent, and address — and from that moment the clock is running. The new owner is picking a bank, an insurance agent, a payroll provider, a card processor, and a dozen suppliers, usually within the first weeks of operating.
Most teams buy that moment from a list broker. The problem is structural: by the time a registration lands in a rented database, it has been aggregated, resold, and dialed by everyone else who rents the same rows. Recordpipe works differently. We build a collection pipeline against the registries in your target geography and deliver registrations as they publish — to you, in your schema, on your cadence. The output is not shared inventory. It is a feed only you receive, shaped by filters only you defined.
New LLC lists and incorporation feeds built around your ICP
A raw registry dump is mostly noise for any one seller. Holding companies, single-asset LLCs, renewals, and out-of-state registrants bury the entities you actually want. The filters are where a custom feed earns its keep:
- Entity type — LLCs, corporations, DBAs, nonprofits, or any mix.
- Industry signals — name patterns, stated purpose, and classification fields where jurisdictions publish them.
- Geography — one metro, one state, or every state you sell in, unified into one schema.
- Registered-agent patterns — separate owner-operated filings from bulk-formation traffic, or target the reverse.
Filters are set during scoping and encoded into the pipeline, so every delivery arrives pre-cut to your definition of a good account. The AI analysis layer then scores each row against your ideal customer profile and dedupes it against everything we have already sent you.
What fresh actually means in new business data
Vendors say fresh; few define it. Our definition is simple: your feed moves when the sources move. Registrations are collected as jurisdictions publish them — daily where sources move fast, weekly rollups where they do not — and each delivery carries the source publication date so your reps can see the timing for themselves. There is no aggregation queue between the registry and your CRM, because the pipeline is yours.
Timing is the entire economics of this category. A new business a few days into existence takes the call and has not signed with anyone. The same record after it has cycled through the resale chain is a voicemail. The infrastructure behind this runs at enterprise scale — over one million public records processed nightly — but each client pipeline is scoped, filtered, and delivered individually.
Owner names, addresses, and what we will not sell you
New business registrations are public records, and we deliver what the public record contains: entity names, owner and officer names where the jurisdiction publishes them, registered agents, and mailing addresses. Those are real contact points, filed by the business itself.
What we do not do: scrape private contact data, append personal emails or cell numbers, or run people-search lookups. Contact points come as published in public filings; if you want enrichment on top, that is your call and your vendor. This keeps your feed clean from a compliance standpoint and keeps you out of the gray zone that burns sending domains and phone reputations. Raw public data, not consumer reports — we are not a CRA, and any use case that touches eligibility decisions gets compliance review at intake.
What a delivery looks like
| Field | Description |
|---|---|
| legal_name | Entity name exactly as registered |
| entity_type | LLC, corporation, DBA, LP, nonprofit — as filed |
| formation_date | Date the registration was filed or became effective |
| jurisdiction | State or county where the entity registered |
| registered_agent | Agent of record, useful for separating bulk-formation filings |
| principal_address | Business or mailing address as published in the filing |
| officers_members | Owner, officer, or member names where the jurisdiction publishes them |
| industry_signal | Classification or stated purpose where available, plus AI-inferred category |
| source_published_at | When the record appeared at the source — your freshness audit trail |
| fit_score | AI ranking against your ideal customer profile |