Three sketches of how teams use TalentGraph day to day — an in-house talent team, a staffing agency working a client database, and an HR function standardising across departments.
A five-person talent team handling roughly forty open engineering requisitions parses every inbound application automatically. Talent Match ranks the pool per req, and the recruiters start their week with a scored shortlist and the reasons behind each position.
An archive of unstructured CVs is bulk-parsed into structured candidate records. New client briefs are pushed through the Job Parser and matched against people the agency already had on file, which turns redeployment from a memory exercise into a query.
Hiring managers brief a role in a sentence; the JD Generator produces a consistently structured description and the Job Parser normalizes the title. Every candidate is then scored against the same criteria, so quarterly hiring reporting stops being archaeology.
If TalentGraph is working for your team, we would rather publish your numbers than our adjectives. We will write it, you approve every word, and you can pull it at any time.