
The recruiting industry’s reliance on opaque ATS and post‑apply AI screening creates widespread candidate ghosting and legal exposure. Candidates often skip jobs where they expect no feedback, with 80% of well‑matched talent opting out, leading to noisy, low‑quality applicant pools. Match2 proposes a pre‑apply validation model and universal candidate profiles that let applicants see match scores before applying, dramatically reducing fake submissions and improving data quality. By integrating transparently with existing systems, this approach promises better candidate experiences, stronger employer brands, and reduced compliance risk.

Applicant tracking systems still mandate email addresses, creating a major barrier for hourly and skilled‑trade workers who prefer mobile communication. Mobile ownership is near‑universal, with text messages delivering roughly 98% open rates and 30‑45% response rates, far outpacing email. The...