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Built for hiring teams that use take-home assignments

Take-home assignments, validated by AI

Generate an assignment from your job description, invite candidates with private links, and get reports that build the code, check the logic, run a full integrity analysis, and hand you the interview questions to ask next.

Every integrity signal ships as confidence plus evidence. You make the call.

Vettly assignment dashboard listing five candidates with evaluation status, scores, and advance, maybe, or reject recommendations

Why Vettly

  • Real builds, not guesses

    We clone, build, and run every repository in an isolated environment before a single point is scored.

  • Evidence on every line

    Scores cite the files and regions behind them. Integrity findings arrive as confidence plus evidence, never a verdict.

  • Zero candidate friction

    Candidates get one private link with the brief and deadline. No accounts, no installs, nothing to learn.

How it works

From job description to decision

1

Create the assignment

Paste a job description. Vettly refines it with a few clarifying questions, then generates the assignment and a weighted scoring rubric you can edit. Bring your own assignment if you prefer.

2

Invite candidates

Add emails or upload a spreadsheet. Every candidate gets a private link with the brief and deadline. No accounts, no friction.

3

We evaluate every submission

Each GitHub repository is built and run in an isolated environment, scored against your rubric with file-level evidence, and passed through the full integrity suite.

4

Decide with a real report

A composite score, stage-by-stage breakdown, a next-round recommendation, and interview questions aimed at each submission's weak spots.

Side-by-side candidate comparison table with composite scores, stage scores, and integrity signal strength per candidate

The integrity suite

Six independent signals, zero accusations

Each signal is reported as a confidence level with cited evidence, so you decide with facts.

  • Cross-candidate similarity

    Fingerprints every submission and surfaces overlapping code across candidates, with the matching regions cited.

  • Commit forensics

    Reads the repository history for bulk single commits, implausible timing, and author mismatches.

  • Public repository match

    Checks distinctive code against public GitHub repositories and cites what it finds.

  • AI-generation likelihood

    Estimates how likely the code is AI-generated. Explicitly labeled unreliable and never used as a verdict.

  • Resume cross-check

    Compares the submission against the candidate's resume claims and notes inconsistencies with evidence.

  • Live deployment check

    If the candidate shares a deployed link, we visit it, screenshot it, and score it as a bonus. No link, no penalty.

Submission report showing a 76 out of 100 composite score, stage breakdown with cited evidence, and a cross-candidate similarity signal at 86 percent with the matching files named

Pricing

Simple credit packs

One credit evaluates one candidate submission. No subscriptions, no free tier, no surprises.

Starter

10 evaluation credits

₹2,499.00

₹249.90 per evaluation

Get started

Growth

50 evaluation credits

₹9,999.00

₹199.98 per evaluation

Most popular

Get started

Scale

200 evaluation credits

₹29,999.00

₹150.00 per evaluation

Get started
  • Isolated build and run
  • Rubric scoring with cited evidence
  • Six-signal integrity suite
  • Interview questions per candidate

Every pack includes everything above. Launch pricing, subject to change. Payments via UPI or card, processed by Razorpay. Every purchase comes with a numbered, downloadable bill.

Billing page with a live credit balance, the three credit packs, and a ledger of purchases and per-evaluation deductions

Stop reviewing take-homes by hand

Publish your first assignment in minutes and let every submission arrive pre-evaluated, with the evidence attached.

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