Screening that surfaces the best. Fast, fair, and safe.
Remove the noise from early screening. BlindStairs standardizes candidate data to focus on skills and merit, giving you consistent shortlists that stand up to any audit.
- Surface top talent without background noise or labels
- Cut manual screening time by 50%
- Produce consistent scores you can explain and defend
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Why traditional screening is risky and slow
Background Noise
Manual reviews are easily distracted by pedigree, layout, or personal details that don’t predict performance.
Inconsistent Standards
The same profile can receive different scores depending on who reviews it or when.
Liability Risk
If you can’t explain why someone was rejected with data, you are exposed to compliance risk.
Screening built for Safer Speed
BlindStairs replaces "gut feeling" with objective data. By standardizing how you evaluate every candidate, you can move faster without breaking your standards or compliance obligations.
Objective Standardization
Candidates are evaluated on verified skills and data points, not formatting or photos.
Consistent Evaluation
Equivalent profiles receive equivalent scores regardless of background or labels.
Defensible Decisions
Every outcome is linked to clear criteria and supporting evidence automatically.
Fairness you can test, not just claim
- Paired CV testing shows stable scores across demographic variations
- No score drift when age, gender, or nationality change
- Reproducible results across reviewers and time
Results based on internal validation and controlled experiments during pilots.
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For HR, Legal, and IT
HR and Talent
- Fairer shortlisting
- More consistent screening
- Better candidate trust
Legal and Compliance
- Non-discrimination by design
- Traceable screening decisions
- Ready for audits and regulatory review
IT and Data
- API-first or platform deployment
- Repeatable outputs (same input -> same result)
- Secure and privacy-first
When regulation-ready screening makes sense
High-volume hiring
Regulated environments
DEI commitments with accountability
AI-assisted hiring processes
Public sector or funded projects