Agencies sit on thousands of CVs that nobody can search, because a CV is a document and not a record. TalentGraph parses the whole archive into structured candidates — skills, tenure, seniority, location — so a new client brief can be matched against people you already know.
The three complaints we hear most from teams in this seat.
Ten years of placements, and finding a Python engineer in Pune still means keyword-grepping filenames.
Three agencies got the same brief this morning. The one that submits first, wins.
A contract ends Friday and nobody can quickly say who else that person fits.
Four steps, none of which involve reading a CV that was never going to fit.
Point the parser at your existing CV store. Each document becomes a structured candidate in the pool.
Paste the client's requirement into the Job Parser; it normalizes the title against the O*NET taxonomy.
Talent Match ranks the pool against the brief and returns scored candidates with matching and missing skills.
Resume Builder cleans up formatting and ATS issues before the CV goes to the client — without inventing facts.
Our old parser broke on every two-column resume. This one handles them, and the JSON drops straight into our system.
Start with these; the rest of the pipeline is there when you need it.
Bring a handful of real CVs and one open requisition. Ten minutes is usually enough to tell whether this fits how you work.