Vettd.ai

The system corrects bad records, fills missing details, verifies contacts, and refreshes inbound applicants so profiles stay current. Recruiters spend less time on cleanup and more time on outreach since Bullhorn becomes a more reliable source of complete candidate information.

CandidateIQ standardizes fields and skills taxonomies so search and match produce consistent results. Normalized values reduce noise in filters and lists, which improves segmentation, targeting, and the quality of results used for recruiter follow ups and shortlist creation.

Recurring data quality processes remove duplicate profiles and keep high-value candidates organized. Cleaner records reduce confusion across teams and prevent wasted effort on split histories or stale contact information during sourcing and redeployment.

Vettd.ai integrates directly with Bullhorn so improvements appear where recruiters work. Better profiles increase the effectiveness of search, match, automation, and AI agents, which shortens cycles from candidate discovery to submission and reduces reliance on manual updates.

By keeping emails and mobile numbers valid and records enriched, Bullhorn automations trigger more reliably. Teams gain stronger segmentation and cleaner audiences for campaigns, which raises automation throughput and improves response alignment with open roles. Vettd.ai features support these outcomes within Bullhorn.