Integrity_Module_03

Blind Merit.
Mathematical Fairness.

Eliminate subconscious hiring bias at the kernel level. Vetra redacts PII before evaluation, ensuring rankings are derived from 100% skill alignment.

Active_Kernel_Sanitization
Identifier_String
Alexander J. Cunningham
Normalized_Capability_Vector
94.2%
ANONYMIZED

Zero-Knowledge
Evaluation Core

Vetra's ranking engine is physically incapable of seeing demographic data. By masking PII before the data hits the reasoning layer, we ensure rankings are a pure mathematical derivative of merit.

0.0%
Adverse Impact
100%
Audit Ready

PII Sanitization

Proprietary sanitization layers strip names, photos, and age indicators at the source, preventing model drift toward biased patterns.

Adverse Impact Guard

Real-time monitoring of selection rates to ensure mathematical parity across all demographics, meeting rigorous EEOC standards.

Explainable Logic

Every score is accompanied by a transparent "Reasoning Path," detailing exactly which skill vectors contributed to a candidate's rank.

Integrity_Manifest.log
Redaction Latency < 12ms / doc
Compliance Standard SOC2 Type II / EEOC
Kernel Version Vetra-Ethical-v5.0
Encryption AES-256-GCM

Validate your hiring pipeline.

Includes free EEOC disparity report.