Case Study
How an AI recruiting platform uses Crustdata to keep 100K+ candidate profiles fresh and accurate
Company
Ai recruiting tool
use case
AI recruiters
company overview
An AI powered recruiting platform helping companies hire top talent through a network of specialized recruiters for hard-to-fill executive and technical roles.
Before partnering with Crustdata, the team faced critical limitations in their candidate data infrastructure:
Limited Candidate Discovery
Could only enrich candidates after recruiters found them or they were submitted to the platform
No proactive discovery of new candidates matching client requirements
Needed comprehensive database coverage to build vector search for recruiter tooling
Manual Candidate Monitoring & Revenue Leakage
No automated way to track when candidates changed jobs or got hired
Missing $30-40K revenue opportunities when candidates got hired but companies didn't report it
Relied entirely on Chrome extension that only updated when users manually visited LinkedIn profiles
Unpredictable data freshness creating gaps in candidate tracking
Scalability Constraints
Chrome extension approach couldn't scale to monitoring tens of thousands of candidates
No real-time alerting infrastructure for profile changes
Crustdata provided enterprise-grade data infrastructure built for recruiting at scale:
Profile Watcher - Automated Job Change Detection
Real-time monitoring of 100,000+ candidates in recruiting pipelines, removing manual profile checking via Chrome extension.
Webhook-based alerts delivered instantly when candidates change jobs
Customizable check frequency (daily, weekly, monthly)
Real-time LinkedIn crawling ensuring candidate profiles are enriched with fresh data without manual intervention
Flexible Deployment Options
API access for real-time person enrichment and discovery
Monthly data dumps (250M profiles) for building vector search over a database
Company enrichment with historical headcount and funding data
Revenue Protection & Recovery
Automated detection of candidate hires in first month of implementation moving from reactive discovery to proactive monitoring of completed hires
$200-300K+ in previously-missed revenue captured annually
Eliminated dependency on companies remembering to report successful placements
Improved Efficiency of Recruiting Operations
Webhook automation reduced engineering overhead for candidate tracking and enabled product team to focus on building their recruiting product vs. building the data infrastructure
Helped Scale Infrastructure
4x increase in candidate enrichment capacity supporting rapid growth
Infrastructure supporting expansion from seed-stage to Fortune 500 clients