The evidence-based layer for technical hiring
Move beyond keyword matching. Turn scattered work artifacts into verifiable hiring signals.
AI Noise Filter
Filter high-volume, low-intent AI-generated spam applications with behavioral analysis.
Unindexed Evidence
Verify skills via deep-link references to PRs and commits, not static PDF resumes.
Search Precision
Query by architectural pattern and code quality. Stop relying on boolean keyword matching.
Compliance & ROI
Automated data lifecycle management designed for strict 2-year GDPR deletion cycles.
Engineering-grade hiring signals
Traditional ATS systems flatten candidates into text strings. Skill Graph rebuilds them as a verified graph of capabilities, linked directly to the source of truth.
Artifact Linking
Every skill claim is backed by a specific commit, design file, or project artifact.
Temporal Validity
Signals decay over time. We weight recent work higher than legacy code.
Contextual Analysis
Differentiate between 'Hello World' tutorials and production-grade system architecture.
Comparison
The new standard for technical vetting
Replacing proxy metrics with direct evidence.
| Criteria | Static CVs (Old Way) | Skill Graph (New Way) |
|---|---|---|
| Validation Source | Self-reported claims | Cryptographic artifact links |
| Depth of Analysis | Keyword frequency counting | Code quality & complexity analysis |
| Data Freshness | Static snapshots (PDFs) | Real-time sync via API |
| Bias Mitigation | High (Name/School/Company bias) | Low (Output-based evaluation) |
FAQ
Frequently Asked Questions About Evidence-Based Hiring
These answers explain how Skill Graph helps hiring teams evaluate technical candidates with verified work signals instead of resume proxies.