AI-native recruiting platform with agentic AI sourcing across 800M+ profiles, automated outreach sequences, ATS integration, and talent pipeline management for high-volume hiring teams.
AI recruiting platform that searches across 800 million candidate profiles to find the right people for your job openings and automatically reaches out to them.
hireEZ (formerly Hiretual) is an AI-first talent acquisition platform built for recruiting teams that need to source passive candidates at scale beyond LinkedIn. The platform searches across 800M+ candidate profiles from 45+ open web platforms â LinkedIn, GitHub, Stack Overflow, AngelList, and professional databases â to find candidates who match specific job requirements, including those not actively job hunting.
The platform's agentic AI (EZ Agent) automates multi-step sourcing workflows: search, shortlist, outreach, and follow-up. Recruiters describe their ideal candidate in natural language, and the AI builds boolean searches, ranks candidates by actual role fit (not just keyword matching), and learns from recruiter feedback to improve recommendations over time.
hireEZ's outreach automation runs personalized email sequences with templates, open tracking, and intelligent follow-ups. The system adapts messaging based on candidate responses and engagement patterns, maintaining a human touch while scaling recruiter productivity. Users report saving 15+ hours per week on average.
The talent CRM capabilities go beyond basic tracking. hireEZ rediscovers candidates already in your ATS, automatically updates profiles as professionals gain new skills, and nurtures talent pools for future hiring needs. The platform integrates with 30+ ATS systems including Greenhouse, Lever, Workday, iCIMS, and Bullhorn.
Analytics dashboards surface hiring funnel metrics, sourcing effectiveness, response rates, and conversion data. The platform includes a Chrome extension for sourcing directly while browsing LinkedIn or GitHub, interview scheduling with calendar sync, and enterprise-grade security with GDPR/CCPA compliance.
The honest take: hireEZ excels at high-volume outbound sourcing of passive candidates. If your recruiting team needs to go beyond LinkedIn Recruiter and find candidates across the open web at scale, hireEZ delivers. The tradeoff is price â it's built for teams with serious hiring volume, not occasional recruiters â and the AI sourcing quality depends on how well you define your ideal candidate profiles.
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hireEZ is a powerful AI-native recruiting platform that excels at high-volume passive candidate sourcing across the open web. The agentic AI and outreach automation save significant time, but the opaque pricing and focus on outbound sourcing make it best suited for teams with serious hiring volume.
Searches across 800M+ profiles from 45+ platforms (LinkedIn, GitHub, Stack Overflow, AngelList, job boards) to find candidates matching specific requirements, including passive candidates not actively job searching.
Use Case:
A recruiter searches for 'senior React engineer with fintech experience' and the AI finds qualified candidates across multiple platforms, ranked by actual role fit.
Automates multi-step sourcing workflows â search, shortlist, outreach, follow-up â with an AI agent that learns from recruiter actions and improves recommendations over time.
Use Case:
Setting up an agentic workflow that autonomously sources, screens, and reaches out to candidates for a hard-to-fill engineering role, with recruiter oversight at key decision points.
Personalized multi-channel outreach campaigns (email, SMS, InMail) with templates, open tracking, A/B testing, and intelligent follow-ups that adapt based on candidate responses.
Use Case:
Running a personalized outreach campaign that references each candidate's recent projects and automatically follows up with relevant job details at appropriate intervals.
Resurfaces qualified candidates already in your existing ATS database using AI matching, reducing cost-per-hire by leveraging talent you've already engaged with.
Use Case:
Finding 50 qualified candidates for a new role who were previously rejected for different positions but match the current requirements perfectly.
Automatically scores and ranks incoming applicants against job descriptions to create an early shortlist, reducing manual resume screening time.
Use Case:
Processing 500 applicants for a popular role and surfacing the top 20 candidates ranked by actual qualification match, not just keyword frequency.
Dashboards and reports covering hiring funnel metrics, sourcing channel effectiveness, response rates, diversity analytics, and conversion data for data-driven recruiting decisions.
Use Case:
Identifying that GitHub sourcing produces 3x higher response rates than LinkedIn for senior engineering roles, and reallocating sourcing effort accordingly.
Estimated ~$169/user/month billed annually; contact sales for exact pricing
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hireEZ launched EZ Agent, an agentic AI that automates multi-step sourcing workflows from search to outreach. The platform expanded its profile database to 800M+ candidates, added AI-powered applicant screening, and improved its analytics dashboard with diversity hiring metrics.
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