Anonymisation

Hire on capability. Remove what shouldn't matter.

Anonymise resumes and applications at the first screen so reviewers focus on skills, evidence, and job fit — not names, photos, or other bias triggers. Works across PDFs, images, and forms; returns structured JSON for your ATS.

Book a demo Try with sample CV

Anonymisation Demoai.r

Alex Johnson
alex.johnson@example.com
+44 7700 900123
10 Down St, London, SW1A 2AA

EXPERIENCE
Senior Software Engineer at TechCorp
• Led team of 5 developers
• Built scalable microservices

EDUCATION
University of Somewhere - Computer Science

Reading CV and extracting data...

Full JSON Output:

{
  "candidateId": "R-456",
  "piiRedacted": false,
  "fields": {
    "name": "Alex Johnson",
    "email": "alex.johnson@example.com",
    "phone": "+44 7700 900123",
    "address": "10 Down St, London, SW1A 2AA",
    "school": "University of Somewhere",
    "experience": "Senior Software Engineer at TechCorp",
    "skills": [
      "JavaScript",
      "React",
      "Node.js"
    ]
  }
}

Anonymised JSON Output:

{
  "candidateId": "R-456",
  "piiRedacted": true,
  "fields": {
    "name": "█ █",
    "email": "█ █",
    "phone": "█ █",
    "address": "█ █",
    "school": "█ █",
    "experience": "Senior Software Engineer at TechCorp",
    "skills": [
      "JavaScript",
      "React",
      "Node.js"
    ]
  }
}

PII Redacted ✓

Upload CV to start

Fair first pass

Compare candidates on evidence, not proxies.

Enterprise controls

Audit logs & gated re-reveal of PII.

Faster sifting

Pair with scoring to reduce manual review.

How anonymisation fits your flow

Step 1

Parse

Detect & normalise all entities, including PII (OCR for PDFs & images).

Step 2

Anonymise

Redact or mask configured fields (name, contact, address, photo, school, gender, etc.).

Step 3

Score & shortlist

Rank by fit using redacted profiles, then review consistently.

Step 4

Controlled re-reveal

Gate who can unmask PII and when (e.g., post-shortlist).

Policy tips: scope fields precisely; differ by region/role; log access to re-reveal; monitor outcomes (advance rates, time-to-fill, quality-of-hire).

Field evidence

Name cues can skew callbacks; removing them helps early fairness.

Blind evaluation wins

Classic blind-audition logic — judge the work first.

Modern pilots

Anonymous hiring can raise foreign-named hires with no efficiency loss.

It's easy to get started

Simple 4-step process to implement anonymisation in your hiring workflow.

Step 1

Receive your API key

Get API access

Receive your API key to unlock our AI features

Step 2

Build integration

Develop & test

Build integration into your dev or staging area.

Step 3

Share data (optional)

Historical processing

If you want back dated data, share your Candidate database and job data with ai.r for processing.

Step 4

Launch

Go live

Run final testing and launch.

Why choose us

Save time and money with our proven anonymisation solution.

Save big and go faster

Build vs buy? Data Science teams typically cost around £500k per year with no guarantee of success. Save time and money with a tried and tested off the shelf solution.

Reduce sifting up to 75%

Enable faster decisions with AI CV analysis and data categorisation. Make CV data easier to digest for your users.

Easy to implement

Plug-and-play APIs that integrate directly into your ATS or job board, documentation and dedicated technical customer support to get you up and running quickly.

FAQs

What fields can you anonymise?: Name, contact details, address, photo, place of study, gender, marital status, hobbies — configurable by policy.
Will anonymisation hide relevant experience?: No. We preserve skills and role evidence, and you can tune field masking by role, geography, and stage.
How do we re-reveal PII?: We gate re-reveal by role and stage, log access, and can require justification notes where needed.
Does this slow us down?: Paired with Parsing & Match Scoring, teams usually shortlist faster with more consistent first passes.

Ready to anonymise your first screen?

Plug into your ATS in weeks — start with one pipeline or roll out across teams.

Book a demo Try with sample CV