TalentMatched AI-Powered Recruitment Demo
What You'll See in This Demo
- Instant AI screening that processes applications within 60 seconds of submission
- Middleware protection that sits between job boards and your ATS
- Explainable scoring with detailed breakdown of candidate matches
- Automated feedback where every applicant receives personalized responses
- Bias-free assessment compliant with EU, New York, and Colorado regulations
- Enterprise integration with Workday, BullHorn, Greenhouse, and 25+ platforms
Video Transcript
Welcome to TalentMatched's AI-powered recruitment automation demo. Today we'll show you how our intelligent screening technology processes applications in seconds and delivers qualified candidates directly to your hiring team.
TalentMatched works as middleware between job boards and your ATS. When a candidate applies, our AI instantly analyzes their application in under 60 seconds, providing comprehensive scoring before the application ever reaches your system.
What sets TalentMatched apart is our explainable AI. You'll see detailed breakdowns of why each candidate matches your requirements, including skills alignment, experience fit, and qualification scores. Every decision is transparent and auditable.
Every applicant receives automated, personalized feedback explaining their results. This creates a positive candidate experience while reducing your team's workload. No candidate is left wondering about their status.
Compliance is built-in from the ground up. TalentMatched is fully compliant with EU AI regulations, New York City Local Law 144, and Colorado Equal Pay for Equal Work Act. Our bias-free assessments ensure fair, equitable candidate evaluation.
Integration is seamless. TalentMatched connects with over 25 enterprise platforms including Workday, BullHorn, Greenhouse, Lever, and all major ATS systems. Setup takes minutes, not weeks.
Ready to transform your recruitment process? Get started with TalentMatched today and see how AI-powered screening can reduce time-to-hire while improving candidate quality.