TapTalent

Gratuit / Open sourceWorkable is an agentic recruiting and HR platform. A native AI agent sources passive candidates from 400M+ profiles, screens every applicant against your job criteria and builds vetted shortlists inside a complete ATS, while onboarding, performance, time off, employee records and reporting run on the same system of record.

Embauche autonome propulsée par l'IA agentique

Neuf agents IA qui filtrent, interrogent, planifient et accompagnent les candidats en autonomie

Gratuit / Open sourceManatal is an AI recruitment platform combining an applicant tracking system, recruitment CRM and AI sourcing, screening and interview tools for agencies and in-house hiring teams.

Gratuit / Open sourcePitch N Hire is an AI-native recruitment platform that joins a full applicant tracking system with HRMS, payroll and staffing services on one shared candidate-to-employee record. Prebuilt hiring agents source, screen, schedule and draft offers, while HRMS modules pick the same person up for onboarding, attendance and payslips.

Un ATS + CRM à IA qui pilote tout le bureau de recrutement au même endroit

Logiciel de recrutement IA réunissant ATS, CRM et onze agents IA

L'ATS natif IA qui remplace toute votre pile de recrutement

Un OS de recrutement IA agentique pour les métiers de terrain

Alfa AI is an AI recruiting platform that runs hiring pipelines end to end. It sources candidates across job boards and the open web, screens applicants with AI voice and video interviews, scores role fit, and syncs shortlisted people straight into your ATS.

Système d'exploitation de recrutement par IA agentique pour l'entreprise

Humanly is an AI recruiting platform built for high-volume, frontline and hourly hiring. It engages every applicant across chat, SMS, email, voice and video, screens candidates through structured conversations instead of keyword resume scans, runs AI interviews around the clock, and schedules the next step automatically, then hands recruiters a ranked shortlist with transcripts and reasoning behind each recommendation.