Hiring pipelines with real-world flow.

Generate requisitions, candidates, interviews and offers that move through realistic stages, with scores, sources and recruiter notes that fit each candidate.

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The example

A Q4 hiring pipeline across four roles

What to look for in the screenshot above. These are the details that usually break in hand-made or random test data.

Candidates move through stages in order: applied, screen, onsite, offer, hired or rejected.
Interview scores exist only once a candidate has interviewed; offers only at offer stage.
Offer salaries fit the role's band: engineering highest, customer success lower.
Each recruiter note explains the candidate's current stage.

Built for HR & Recruiting teams

Realistic funnels

Stage conversion rates and time in stage that look like a real pipeline.

Whole HR schemas

Employees, departments, requisitions, candidates, interviews, offers and reviews.

No real applicants

Every candidate is synthetic, safe for demos and vendor testing.

Notes that fit

AI-written recruiter notes that match each candidate's stage and scores.

How it works

From idea to dataset in three steps

Describe or upload

Describe your data in plain English, or upload your SQL schema for PostgreSQL, MySQL / MariaDB, SQL Server and SQLite.

Review the plan

Check the tables, columns and rules the AI proposes, and adjust anything you like.

Generate and download

Choose how many rows you need and download a ready-to-run SQL script, CSV, Excel (one sheet per table) or JSON.

Questions

Can I generate employee records and payroll?

Yes. Add employees, compensation and payroll tables linked to departments.

Can I test bias or fairness reporting?

Yes. You control the distributions, so you can build balanced or skewed test cases on purpose.

Can stages follow my ATS?

Yes. Describe your stages and the pipeline follows them.