Confidential UK HR-Tech Firm
AI-powered skills matching engine that reduces CV-to-interview shortlisting from days to seconds. Bayseian built the core scoring algorithm, CV parsing pipeline, and workflow orchestration layer.
The Challenge
Recruitment teams were spending days manually screening CVs, with poor matching quality leading to high volumes of irrelevant applications reaching hiring managers. The client needed a production-grade intelligence layer, not a prototype.
Our Approach
Bayseian built a multi-dimensional attribute-based scoring algorithm, CV parsing pipeline with NLP extraction, a knowledge graph for skill taxonomy mapping, and n8n-based workflow orchestration. A Streamlit validation platform enables continuous model improvement.
Outcome
Shortlisting that previously took days now runs in seconds with significantly improved match quality. The client was subsequently recognised at a major London startup awards programme following the platform launch.
Highlights
- CV-to-job matching reduced from days to seconds
- Semantic skills extraction and matching
- Recognised at a major London startup awards programme
- n8n-based workflow orchestration
Outcomes shown are specific to the stated scope, period and operating conditions. Results are not guaranteed and may not be representative of other deployments. Client names, logos and metrics are used with permission or anonymised where required.
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