You have a list of names.
You need to reach them.
We turn a bare list of people into contactable ones — LinkedIn profile, verified email, current employer, and a confidence score you can audit. It works from the least information anyone offers: a name and a location.
The problem
Contact databases know companies. Your list is people.
Every enrichment tool on the market is built around a company. Give it a domain and a job title and it performs. Give it a person who is not sitting in an org chart it has indexed — someone between jobs, at a small business, at a school, a clinic, a franchise, a nonprofit — and it returns nothing.
That is where most lists die. Not at finding people, but at the last step: the row has a name and a city, and no way to reach the human behind it. So it gets handed to someone who googles names one at a time, or it quietly stops being worked.
How it works
It takes whatever you have
A name and a city is the floor, not the requirement. Company, previous employer, job title, school — anything extra raises the hit rate. Format does not matter; messy exports are normal input.
Two channels, in parallel
Email and profile discovery find different people. Neither is enough alone — together they reach roughly a third more than either does by itself. Both run on every row.
Gate before you score
A result only counts if the name matches as a whole phrase, in the right position, with nothing in front of it. Data-broker and people-search sites are blacklisted outright. Common names are capped unless a second signal — employer, city, history — also matches.
Score, then verify
Every match carries a number and the reason behind it. Above the threshold it is automatic, in the middle band it goes to a review queue, below it is dropped rather than guessed. Addresses are SMTP-verified before anything is sent.
You get the evidence, not just the answer
Each row shows what matched and why it passed. A reviewer can overrule a call in seconds instead of re-doing the research.
Measured, not estimated
Hit rates are measured, not modelled. The calibration set was 470 people across education, early childhood and healthcare in the Philadelphia and New Jersey market. Precision was audited by hand on a 20-record sample from the top of the priority list — small, and reported as such. Rates move with the population: people at organizations with their own domain reach roughly 60%, franchise and gig employers close to zero. We tell you which one your list looks like before you commit to anything.
Where people use it
- Lists that came from somewhere other than a database — event attendees, webinar sign-ups, conference speakers, association directories, award lists
- People at organizations no data vendor covers well — schools, clinics, care facilities, franchises, local operators, nonprofits
- Recruiting — candidates sourced by name, turned into people you can actually email
- CRM repair — rows that have a person and nothing usable next to them
- Anything that starts as a screenshot, a PDF or a scraped page and needs to become a working list
How it works commercially
You pay for what we find, not for what we try. The price depends on how reachable your population is — which is exactly what the free batch tells both of us.
Fifty rows. On us.
Send fifty names with whatever context you have. You get them back with emails, profiles, employers and confidence scores — free, and yours to keep whether or not we work together.