Automation for hiring teams that need faster screening, stronger structure, and better early-stage signal.
Recruitment processes slow down when screening is inconsistent, evaluation notes are unstructured, and recruiters spend time repeating low-leverage tasks. Here the objective is a more disciplined pipeline with better decision support.
Matching case studies from the wider portfolio.
Each card below is selected for this route so buyers can see real completed work that reflects similar operating pressure, system complexity, and commercial outcomes.
AI Candidate Screening & Document Processing
UNIDEX automated interview intake, transcription, evaluation structuring, and recruiter comparison so early-stage hiring no longer relied on fragmented notes and repeated manual calls.
AI platform for first-stage candidate screening
The attached project materials describe AI agents that conduct initial interviews, extract candidate answers, summarize results, and reduce bias through more reliable structured scoring.
AI job aggregation and recommendation bot
The full portfolio shows a bot aggregating openings from multiple sources, scoring fit with AI, and processing more than one hundred vacancies per cycle with recurring parsing and recommendation logic.