Prescreener

Ranking · Automated resume screening

Automated resume screening software that reads and ranks every CV

Automated resume screening earns its place on the most repetitive step in hiring: reading the same kinds of resumes hundreds of times to decide who clears the must-haves. That read is mechanical and high-volume, exactly the work that should be automated, and exactly where manual screening burns out recruiters. The tell is simple. If you are applying the same handful of criteria to the four-hundredth resume that you applied to the fourth, a person should not be the one doing it.

Parse · score · rank · recruiter reviews

Shortlist Desk
Criteria

top · held

Screen the pile to watch Prescreener parse every resume, apply your criteria and knockouts, and rank the inbound applicants with a transparent reason on each.

Live, interactive · AI assists, you decide · no signup needed

top matches surfaced held for review Reasons on every card

AI assists · you decide · bias-audited (EEOC / NYC Local Law 144)

CONSISTENT CRITERIA RANKED PILE ATS-READY

Human-in-the-loop you decide

EEOC and LL144 bias-audited

Prescreener automates the resume read and the ranking, and stops there. It reads every resume, applies your knockout and eligibility criteria, asks any screening questions you set, scores role-fit, and ranks the pile with a written reason under each candidate. Then a recruiter takes over: they review the ranked results and make every decision, because nothing is auto-rejected. The automation is bias-audited to support EEOC standards and NYC Local Law 144 and runs with candidate consent and AI disclosure, so it speeds up screening without crossing into automated rejection.

The line between automated screening and automated rejection is the one that matters, and most of the concern about automated resume screening lives there. A tool that quietly deletes anyone who missed a keyword is making hiring decisions with nobody watching. Prescreener draws the line deliberately: the software does the reading and the ranking, which is the mechanical part, and a human does the deciding, which is the part that should never be handed to a model. It runs alongside Greenhouse, Lever, Workable, or whatever ATS already holds your reqs.

Why it works

What your team gets with automated resume screening

Automates the read

The repetitive resume read and criteria check run automatically the moment an application lands, so recruiters skip the part that drains hours and start at the ranked shortlist.

Stops before the call

Automation handles screening and ranking, but the advance or reject decision stays with a human, so nothing is rejected by software alone. That is the whole point of the design.

Consistent every time

Automated screening applies the same criteria to every resume, removing the drift that creeps into a long manual review session where the last fifty resumes get a different standard than the first.

A reason under every candidate

Each ranked applicant carries the criteria they met and the resume evidence behind it, so a recruiter can see why the system placed someone where it did before they review, and disagree when they should.

Runs at any volume

A posting that draws forty applications and one that draws six hundred get the same screening standard applied at the same speed, so quality does not slip on exactly the reqs where volume makes manual screening impossible.

What it handles

Parsed, scored and ranked on autopilot

Prescreener reads every inbound resume, applies your knockout and eligibility criteria, asks the screening questions you set, scores role-fit against consistent criteria, and ranks the applicant pile so your recruiters review the top matches first.

  • Automatically reads every resume in the pile as it arrives
  • Applies knockout and role-fit criteria consistently to all applicants
  • Asks your screening questions and checks the answers
  • Ranks the pile with a transparent reason under each candidate
  • Leaves every advance or reject decision to a human, never auto-rejects
  • Bias-audited to support EEOC standards and NYC Local Law 144 with candidate consent
SHORTLIST Screening
#1 Maya R. 92
#2 Devon L. 88
#3 Priya S. 81 Review
Role-fit scored 48 screened this week

Why Prescreener

One step that screens the whole inbound pile

Not a full ATS, not a six-figure assessment suite, and not a staffing agency. Parse, score, rank and hand off in one place, shaped to the criteria you already hire on.

Reads every resume

Prescreener parses every inbound application, applies your knockout and eligibility criteria, and asks the screening questions you set. Applicants consent and are told AI is screening their application, so no qualified person sits in a backlog for days.

Scores role-fit consistently

Every applicant is scored against the same criteria, with a transparent reason on each candidate, so the pile is compared consistently and the scoring stays bias-audited against EEOC guidance and NYC Local Law 144.

Ranks the pile

The strongest matches rise to the top of a ranked pile your recruiters review first. Prescreener never auto-rejects, it ranks and flags candidates for review, and your team makes every decision.

Good questions

Questions about automated resume screening

Automated resume screening is software that reads every inbound resume, checks it against the criteria a role requires, scores role-fit, and ranks the pile so the strongest matches surface first. Good automated screening shows the reasoning behind each ranking and leaves the accept or reject decision to a recruiter rather than filtering people out on its own.
You define the eligibility gates, screening questions, and role-fit criteria for a role once. The software then reads each application as it arrives, extracts the relevant details, applies your criteria evenly, scores fit, and returns a ranked list with a short written reason under each candidate. A recruiter reviews the ranked results and makes every call, since nothing is auto-rejected.
The resume read, the criteria check, the screening questions, the role-fit scoring, and the ranking are automated. The decision is not. A recruiter reviews the ranked results and makes every advance or reject call, because Prescreener ranks and flags candidates and never auto-rejects.
It is accurate when it reads for evidence against criteria you set rather than counting keywords. The honest way to test any automated resume screening system is to hand it ten resumes where you already know the right answer, including one strong candidate with a sparse resume, and see where each one ranks. Accuracy comes from criteria that match the job, which is why the criteria stay in your hands.
Prescreener never auto-rejects. Applicants who miss a hard requirement are flagged and ranked lower with the reason attached, and a recruiter decides what happens next. Some tools do auto-reject on knockout answers, which is worth confirming before you buy, because a badly worded question then removes qualified people with nobody reviewing it.
The same criteria apply to every resume, each ranking carries a transparent reason, the process is bias-audited to support EEOC standards and NYC Local Law 144, and candidates are told AI is used. Disparate impact liability under Title VII is unchanged, and several states and cities add rules for automated employment decision tools, so keeping criteria job-related and a human in the loop is both the fair and the compliant way to run it.

Explore more

More ways hiring teams screen with Prescreener

Stop reading the inbound pile by hand. Put screening on autopilot.

Set your role and criteria and Prescreener parses every inbound resume, scores role-fit, and ranks the pile for your team. Prescreener ranks and flags candidates, your recruiters make every hiring decision.

See pricing

Consistent criteria · bias-audited to EEOC and LL144 · human-in-the-loop