Use Case
AI Resume & Candidate Screening
Surface the candidates worth a human's time instead of manually reading every application.
The problem
Hiring managers spend hours reading resumes that clearly don't meet basic requirements before finding the ones worth a real look.
How we'd approach it
Incoming applications are screened against criteria you define (not a black-box score), with a clear rationale attached to each result — a shortlist tool for a human decision-maker, not an autonomous rejection system.
Typical stack
Related
FAQs
Does the AI reject candidates on its own?
We build this as a shortlisting/ranking aid with visible rationale, not an autonomous rejection system — the hiring decision stays with a person, both for fairness and because automated rejection carries real legal and reputational risk.
Could this introduce bias into hiring?
The screening criteria are ones you define explicitly, with a visible rationale attached to each result — that transparency is what lets you audit for bias, versus a black-box score you can't inspect.
Have a project in mind?
Tell us what you're trying to automate or build — we'll reply with next steps, not a sales pitch.