Your CRM is full of placements you've already paid to acquire and can no longer see: dead records, duplicate profiles, misclassified titles. We're the data engineering layer that finds them, fixes them, and keeps them clean.
Left alone, every CRM trends toward noise. Three failure modes, all of them quietly billing you in placements you never make.
Emails bounce, numbers disconnect, people move jobs. After two years, roughly a third of a candidate list can't be reached at the details on file, and your consultants discover it one dead call at a time.
One candidate entered by three consultants becomes three records, three histories, three half-conversations. Nobody sees the whole picture, and two of them work the same person cold.
"Dev", "Developer", "Software Engineer", "SWE": one role filed under a dozen labels your search will never reconcile. Location free-typed, seniority guessed. The candidate you need is in there; your Boolean string will never find them.
No black box. A deterministic pipeline that uses a language model only where it earns its place (extraction and normalisation), and hard, auditable rules everywhere else.
The honest version of what's in your database, before you spend anything. Run six searches in your own ATS, send me the numbers, and get a written assessment back. No candidate data leaves your system.
Duplicate rate isn't in the free score. Measuring it properly needs a sample export under a DPA, so it's a separate conversation.
Check your inbox. I'll send you six searches to run in {{ successAts }} — about five minutes of work. Send the numbers back and your Data Health Score follows. No obligation.
// six numbers. no candidate data leaves your system.
Free · No candidate data leaves your system · No obligation