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Growth engine

Lead research & enrichment

Find the right people at the right companies, with the context your sales team would spend hours digging up.

An AI pipeline that takes a target profile, finds matching companies, finds the right person at each one, pulls real context from public sources, and hands your sales team a hot list. The work that nobody enjoys but everybody needs.

Typical priceSetup fee $499+, credited back against your first performance fees. After launch, common performance models for this engine: pay per qualified lead delivered, or pay per qualified meeting booked.
Typical timeline2 to 3 weeks to first hot list. Weekly delivery thereafter.

How we build it

1. Define the target

We work with you to define an ideal company profile and an ideal person profile. Tighter is better.

  • Industry, headcount, geography, revenue band, technology used
  • Person seniority, function, tenure signals, recent posts or moves
  • Negative filters (companies and roles to skip) included

2. Find companies

AI searches across public sources for companies matching the profile. Volume is the easy part. Quality is the hard part.

  • Multi-source search (LinkedIn, company directories, industry databases)
  • Auto-deduplication across sources
  • Funding and headcount signals where available
  • Negative-filter pass to remove obvious bad fits

3. Find people and pull context

For each qualified company, find the right person and gather context worth bringing into a conversation.

  • Decision-maker identification at each company
  • Recent public statements (podcasts, blog posts, social) summarized
  • Mutual connections or relevant signals surfaced
  • One-paragraph context note per lead

4. Deliver

A weekly hot list to your CRM, ready to work. No spreadsheets, no copy-paste.

  • Direct write to your CRM with custom fields
  • Weekly email summary to the sales lead
  • Per-lead source citations included
  • Quality feedback loop (reps mark good and bad leads, AI learns)

Edge cases we handle

  • LinkedIn-only intent. We use compliant licensed providers, never raw scraping at scale.
  • Highly regulated industries. We add a compliance pass on context summaries.
  • Tiny target market. We don't run this if there are fewer than ~500 plausible accounts. The math doesn't work.

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