AI-Powered Talent Matching
Hiring at scale means processing hundreds of CVs against complex job requirements. We built a matching system that finds the right candidates faster — without sacrificing fairness or compliance.
From resume to qualified shortlist — faster, fairer, and GDPR-compliant
Capabilities
Production Track Record
We run a full applicant tracking pipeline — CV parsing (text + multimodal), semantic matching via pgvector, AI-scored evaluations with recruiter overrides, PII anonymization for bias-free shortlisting, and automated GDPR retention policies. All production-tested.
What We Built
We built an AI-powered talent matching pipeline that handles the full journey from resume to shortlist:
- CV parsing that actually works — Handles scanned documents, complex layouts, and international formats through both text extraction and visual analysis
- Semantic matching — Goes beyond keyword search to find candidates whose experience genuinely aligns with your requirements
- AI-scored evaluations — Candidates are scored on your criteria, with full recruiter override capability so your team stays in control
- Privacy-first design — PII anonymization for bias-free shortlisting, with automated GDPR retention policies per jurisdiction
What This Means for You
If your organization processes high volumes of candidate applications, this pattern can dramatically reduce time-to-shortlist while improving match quality and ensuring compliance with privacy regulations across jurisdictions.
Ready to deploy this in your environment?
This accelerator is production-proven. Let's discuss how to adapt it for your team.