Discover qualified private company targets

What happens

• Queries are built from your industry, services, location, end markets, and project-specific hints — not just raw keywords.
• Each lane runs in parallel and applies snippet filtering, domain exclusions, and noise blocking at the source so junk never enters the pipeline.
• Results from every source are merged, deduplicated by domain and company name, and normalized into a single unified candidate set.

What you get

• A wide raw candidate pool with company name, website, estimated headcount, and location for every result.
• Source attribution per company so every lead is traceable back to where it came from.

What happens

• Each candidate is checked for service overlap (does the company actually do what you asked for), size and geography fit, and whether it resembles a real operating business.
• Every kept candidate is assigned a triage score plus a list of concerns — size mismatch, vague service overlap, weak signals — for downstream verification to resolve.
• Cuts are made aggressively here so enrichment cost and runtime stay tight on the candidates most likely to qualify.

What you get

• A ranked short-list of candidates worth enriching, each carrying its triage score and flags.
• A separate cut list with rejection reasons, available for audit if you want to see what was dropped.

What happens

• Each company's homepage and key inner pages are scraped live to extract description, services, end markets, headcount, and phone — with URL validation rejecting parked domains, directories, and dead pages.
• Gap-fill searches resolve any missing structured fields — revenue, employees, city, state — from supplementary sources, with fallback domain variants tried when sites resist scraping.
• A second AI pass cross-checks the enriched profile against your criteria, flags inconsistencies, and classifies ownership — private, family-owned, PE-backed, or public.

What you get

• Fully populated profiles with description, services, markets, employees, revenue, location, and a validated website.
• Ownership classification and a final fit score on every result; non-private companies are filtered out.

What happens

• Multiple fallback layers search for the right person — owner, founder, CEO, or relevant department head — checking already-scraped contacts first so easy wins skip the verification chain entirely.
• Email format is auto-detected from sample addresses published on the company's own site, then the target contact's email is derived using the detected pattern.
• Domain checks and per-source confidence scoring run at every step so guessed addresses can't leak through as 'verified.'

What you get

• First name, last name, title, and verified email for the key decision-maker at each company.
• Detected email format so additional contacts at the same company can be derived on demand later.

What happens

• Each result is tagged with the search criteria that produced it, source attribution, and timestamps for every enrichment step.
• Companies you've already seen are flagged on future searches so the platform never spends time re-discovering them.
• A summary report captures discovery counts per source, enrichment success rates, contact resolution rates, and total runtime for the search.

What you get

• A verified company list delivered straight to your project workspace, ready for outreach or export.
• A growing proprietary dataset that compounds value with every search you run.