From 200 CVs to an objective shortlist.
CV analysis and scoring
AI extracts structured data from every CV (skills, experience, languages, education) and computes a 0 to 100 fit score against the role requirements.
Every CV that enters the platform gets analyzed without anyone asking: AI extracts the structured data, normalizes it to your company language and computes the fit with the role. The result arrives explained, not just as a number.
- Structured extraction normalized to your company language
- Explained 0–100 fit score
- Automatic on every entry path
- Cached results: nothing is recomputed without reason
Ana_García.pdf
CV analysis FAQ
What data does it extract from each CV?
Skills, work experience, languages and education, in structured form and normalized to your company language even if the CV arrives in another one.
How is the score computed?
It's a 0 to 100 fit against the role's requirements, together with an explanation of what the candidate meets and what they don't.
Do I have to trigger the analysis manually?
No. It runs automatically on every entry path (web, CSV, API, portal, talent pool or WhatsApp) and results are cached to avoid needless recomputation.
Works best with the rest of the platform
WhatsApp conversation
The agent talks to the candidate and acts.
Candidate questions answered
Candidates ask, someone answers.
Language tests with a level
Knowing whether they really speak English.
AI interviews in video and text
Interview everyone without scheduling a thing.
Interview scheduling
The calendar stops being the bottleneck.
Documents requested and validated
Ask for the ID and check it is the ID.
CV generation
A decent CV for candidates who have none.
Journeys: the process your agents run
Design the process once, run it with everyone.
AI talent database
Today's good candidates fill tomorrow's role.
Integrations and ATS
Connect NovaHiring to your stack.
Put your AI team to work
Tell us how you hire and we'll show you the process running on your own roles.