This page maps the software increasingly used across recruiting, screening, interviewing, and candidate preparation. The hiring process has been quietly rebuilt around AI. On both sides of the table. This is what that infrastructure looks like.
Company directory
44 companies across the AI hiring stack. Search by name or filter by category.
| Company | Category | Role in the hiring stack |
|---|
Dataset and source files
Sources and evidence
- Recruiters processed roughly 100 applications per hire in early 2021, rising to nearly 300 by 2025 (Ashby recruiting data via HR Dive).
- Applications per job on LinkedIn roughly doubled since 2022 (LinkedIn data via Interview Query).
- Candidates using the same family of language model as the evaluator were 20%–60% more likely to be shortlisted than equally qualified candidates using different models or human-written resumes (arXiv, 2025).
Full source ledger: github.com/jessicamalnik/ai-hiring-landscape/blob/main/sources.md
How this was built
This directory started with the documentary transcript. Every company here was named in the film.
A few names. Fetcher, Mercor, Tenzo AI, and Sapia.ai. Couldn't be confirmed from the transcript alone. They're flagged in the GitHub sources ledger and need to be verified against the final video or official company sources before being cited.
This isn't a complete map of the AI hiring market. It's a snapshot of what the film documented.
