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SUB-SECOND NEURAL PARSING & EEOC 4/5THS AUDITING

Neural Resume Intelligence
Certified 100% Bias-Audited.

Parse non-standard resume formats in under 0.8 seconds. Extract deep competencies, calculate true compensation alignment, and certify compliance with federal EEOC adverse impact standards.

Start Free 14-Day Trial → Launch Interactive Parser Workbench ↓

Neural Semantic Extraction & Bias Parity Terminal

Select a candidate resume profile to see sub-second semantic tokenization, O*NET taxonomy alignment, and real-time EEOC adverse impact compliance verification.

Active AI Engine
Grapphen Neural Semantic v4.8 (Fine-Tuned LLaMA-3 Recruiting Model)
Test Resume:
Semantic Entity Tokenization
Parse Time: 0.68s
// Neural Graph Output: Candidate Ingestion #GP-9014
{
"candidate_identity": {
"name": "Dr. Evelyn Reed",
"education": "Ph.D. Computer Science (Stanford)",
"verified_tenure": "11.4 Years Verified"
},
"extracted_competencies": [
"PyTorch", "Transformer Architectures", "CUDA Optimization", "Distributed Training"
],
"compensation_alignment": {
"market_median": "$245,000",
"requisition_budget_match": "Within Target Band (98.2%)"
}
}
EEOC 4/5ths Rule Bias Audit
✓ PASS (No Adverse Impact)
Adverse Impact Parity Ratio: 0.94
0.80 Federal Floor 1.0 Perfect Parity
Sanitized Protected Attributes
  • 🛡️ Demographic Neutrality: Gender, Age & Ethnicity stripped from neural vectors.
  • 🛡️ Institutions Normalized: Non-Ivy universities weighted identically on verified skill tests.
  • 🛡️ Career Gap Tolerance: Family leave & sabbaticals excluded from penalty weights.
Audited under OFCCP & NYC Local Law 144 Request Compliance Whitepaper →

Explainable Neural Matching

No black-box algorithms. Every score generated by Grapphen includes an explainable audit trail detailing why a candidate was recommended.

Sub-0.8s Neural Parsing

Processes multi-page PDFs, scans, and messy docx formats with 99.4% field accuracy. Extracts complex work history, certifications, and technical proficiencies.

  • Fine-tuned recruiting LLM architecture
  • Context-aware tenure calculation
  • Multi-lingual resume normalization

NYC LL144 & EEOC Compliant

Certified independent annual algorithmic audits. Generates compliance reports on demand to guarantee candidate scoring is strictly merit-based.

  • 4/5ths rule adverse impact calculation
  • Annual third-party audit trail export
  • Full compliance with EEOC Uniform Guidelines

Predictive Retention Index

Analyzes tenure pacing and company culture transitions to forecast candidate longevity and minimize costly early contract terminations.

  • Historical promotion cadence signals
  • Company stage and scale alignment
  • Flight-risk trajectory indicators

Technical Entity Recognition

Recognizes underlying frameworks, architectural patterns, and libraries even when candidates use non-standard terminology.

  • Maps to O*NET and ESCO taxonomies
  • Disambiguates homonyms (e.g. Go language vs verb)
  • Quantifies hands-on years per skill

Demographic Proxy Scrubbing

Strips gender identifiers, age signals, graduation dates, and ethnic proxies from semantic embeddings before ranking algorithms execute.

  • Automatic pronoun and name masking
  • Graduation year normalization
  • Address and zip code geocoding sanitization

Explainable Score Weights

Every match score provides transparent factor weighting. Recruiter inspects exactly how much weight was placed on tenure, technical skills, and compensation fit.

  • Transparent mathematical score breakdown
  • Customizable requisition weight sliders
  • No unexplainable black-box decisions

Test Your Resume Pool with Grapphen AI

Upload your existing candidate database and witness instant neural enrichment with zero data contamination.

Start 14-Day Free Sandbox → Schedule Enterprise Demo