For Lever Customers

AI screening for Lever you can actually customize

Glass-Box scoring criteria auto-generated from your JD, weights you adjust yourself, and per-criterion reasoning that shows exactly what drove every score. 5-minute setup via Chrome extension. No ATS migration.

Start for Free Book a Demo

Start free with 2,000 credits

How Glass-Box Scoring Works

Scoring you can tune, defend, and trust

Every score breaks down into four moving parts you control: auto-generated criteria, weights you set, per-criterion reasoning, and resume highlighting.

Auto-generated criteria from JD

Paste a job description, get a draft scoring rubric. Edit what doesn't fit your role.

Weighted criteria you control

Required (3x), Preferred (2x), Bonus (1x). You set what matters.

Per-criterion reasoning

Every score includes a one-sentence explanation of why - not just a number.

Resume highlighting

Click any criterion to see the resume sentences that drove its score.

Beyond what TalentFit does

The Lever-friendly upgrade

"TalentFit is not customizable, performs poorly. We tried Covey Scout. It was only okay. SquarePeg won."

- Talent leader at a Lucidworks-stack tech company, 2026

What TalentFit does

A black-box score

Scoring criteria can't be tuned for specific roles or industries
Weight adjustments are hidden or unavailable
Score outputs lack reasoning - just a number
No connection from score to specific resume evidence
Performance varies wildly by role type
No fraud detection layer at all

What you get with SquarePeg

Scoring you can defend

Auto-generated criteria from each JD, fully editable
Required (3x) / Preferred (2x) / Bonus (1x) weights you control
Per-criterion reasoning attached to every score
Resume highlighting on the sentences that drove each criterion
Glass-Box transparency - defendable to hiring managers and auditors
11-signal fraud detection at no extra cost

Side by Side

Lever TalentFit AI vs SquarePeg + Lever

Capability	Lever TalentFit	SquarePeg + Lever
Lever pipeline + workflow	Yes (Lever's strength)	Stays on Lever
AI candidate scoring	Yes	Yes (Glass-Box)
Customizable scoring criteria	Limited / templates	Auto-generated from JD, fully editable
Weight adjustment	Hidden or unavailable	Required 3x / Preferred 2x / Bonus 1x
Per-criterion reasoning	No	Yes
Resume highlighting	No	Yes
Defendable to hiring managers	Black-box score	Glass-Box transparency
Defendable to auditors (EU AI Act, NYC LL144)	Limited	Audit-ready
Fraud detection	No	11 signals
GPT-written resume detection	No	Yes
Candidate rediscovery	No	Yes
Company enrichment	No	Industry, headcount, revenue, funding
Setup	Already on Lever	5 min Chrome extension
Pricing	Bundled with Lever	$100/mo, ~10-15c per applicant

Get started

Pick where you want to start

Tune the scoring to your roles

Edit every criterion and weight

Paste a JD, SquarePeg generates a draft set of scoring criteria, you edit what's wrong and adjust the Required (3x), Preferred (2x), Bonus (1x) weights. The scoring finally matches how you actually evaluate candidates.

Defend the rank to your hiring manager

Show the reasoning behind every score

Glass-Box scoring shows the exact criteria, weights, and resume sentences behind every rank. Recruiter and hiring manager finally agreeing on candidates.

Stay portable across ATSes

One extension, 95+ ATSes

SquarePeg works on 95+ ATSes via the same Chrome extension. If you're on Lever now but might add Greenhouse, Ashby, or Workable later, the scoring setup moves with you.

Frequently asked questions

Does SquarePeg replace Lever?

No. SquarePeg works on top of Lever via Chrome extension. Lever stays your ATS for pipeline, scheduling, candidate communication, reporting, and team workflows. SquarePeg adds AI scoring with Glass-Box transparency, fraud detection, company enrichment, and candidate rediscovery to the candidates flowing through Lever.

Why is SquarePeg different from TalentFit?

SquarePeg auto-generates a draft set of scoring criteria from each job description, then lets you edit, weight (Required 3x / Preferred 2x / Bonus 1x), and override anything you want. The scoring also includes per-criterion reasoning and resume highlighting so you can verify the score makes sense before trusting it.

How customizable is the scoring really?

Every criterion is editable. You can add new criteria, delete defaults, change weights between Required, Preferred, and Bonus, override any individual score, and re-run the scoring across your candidate pool with one click. Most teams set up a role-specific scoring template once, then re-use it across similar requisitions with small tweaks per JD.

What does Glass-Box scoring mean?

Three things black-box scorers like TalentFit don't show: (1) explicit criterion weights you set yourself; (2) reasoning per criterion explaining what the score is measuring against; (3) resume highlighting that points to the specific sentences in the candidate's resume that drove each criterion's score. When a hiring manager pushes back on a rank, the answer is on the screen.

How long does setup take?

About 5 minutes. Sign up at squarepeg.ai, install the Chrome extension, authenticate your Lever account. Auto-generated scoring criteria mean no manual rule configuration. Most Lever teams are scoring candidates within the same hour.

What does it cost?

Starting at $100/month with month-to-month billing, no per-seat pricing, approximately 10-15 cents per applicant scored. Free tier includes 2,000 credits to score one full job. Cancel anytime.

AI screening for Lever you can actually customize

Glass-Box scoring. Auto-generated from JD. Tunable weights. Resume highlighting.

Start for Free Book a Demo

Start free with 2,000 credits · 5-minute setup · Stays on Lever