Use Case: Recruiters

Hire faster.
Keep candidate data private.

Local AI for recruiters that handles screening, outreach, and scheduling - without exposing candidate data to third-party servers.

The reality

Recruiters handle sensitive personal data daily - CVs, contact details, employment history, salary expectations. When you paste that into a cloud AI tool, it leaves your device. That creates real GDPR and data protection risks, especially for agencies handling candidates across borders.

At the same time, the volume of work is relentless. Screening 80 resumes, writing personalised outreach for 20 candidates, and coordinating 12 interviews - all in a week - is not sustainable without better tools.

How Skales helps recruiters

From screening to offer - faster, private, and no per-message billing.

Resume screening at scale

Paste a job description and a batch of resumes. Skales scores each candidate against your criteria, highlights strengths and gaps, and ranks them - all locally, all private.

Personalised outreach in bulk

Draft personalised LinkedIn and email messages for each candidate. Give Skales their background and the role details, and it writes messages that feel human, not templated.

Interview scheduling support

Coordinate interview logistics via natural language. "Draft an email to John proposing three time slots next week" - Skales writes it, you send it from your own calendar app.

Job description writing

Create compelling, inclusive job descriptions in minutes. Specify the role, level, and must-haves, and Skales drafts a JD that attracts the right candidates.

Candidate briefing notes

Before a hiring manager call, ask Skales to summarise a candidate's profile into a one-page brief. Consistent format, quick to review, no manual copy-pasting.

Pipeline summaries

Paste your notes and Skales produces a clean pipeline update you can share with the hiring team. Where each candidate stands, next steps, and blockers - clearly presented.

Example: Screening a shortlist

You ask: "Here is the JD for a senior backend engineer and 5 CVs. Score each 1-10 against the requirements and explain the top 2."

Skales: A ranked table with scores and reasoning for each candidate. Ready to share with the hiring manager.

You ask: "Write a personalised first-touch LinkedIn message for candidate #1. Mention their work at Stripe and the distributed systems experience."

Skales: A concise, warm message that references their background specifically. Edit and send from LinkedIn.

You ask: "Draft a rejection email for the candidates who did not progress. Professional and kind. No specific feedback."

Skales: A respectful template you can personalise per candidate in seconds.

“Candidate data stays on my machine. That alone was enough reason to switch.”

Free for personal use. Windows and macOS. No account required.