hireEZ

hireEZ is an AI-first talent acquisition platform built for high-volume recruiting teams that need end-to-end automation across candidate sourcing, application screening, resume integrity verification, and AI-driven phone screening. Operated by HireTeamMate, Inc. (dba hireEZ) and founded in Mountain View, California by CEO Steven Jiang, hireEZ positions itself as the first recruiting platform to combine autonomous outbound sourcing, inbound resume ranking, resume fraud detection, and AI phone screening in a single workflow. The platform serves enterprise and mid-market recruiting teams handling consistent hiring volume across technical, sales, and operational roles. hireEZ integrates with ATS systems for candidate handoff and maintains a sourcing database of 800M+ candidate profiles aggregated from the open web, GitHub, and professional networks. The platform does not currently publish an official MCP server, limiting direct AI-agent-to-agent connectivity for teams running orchestration layers. Specific named ATS partners are not individually listed in public documentation, and teams should verify ATS compatibility directly before purchasing. The platform does not natively integrate with common HRIS systems such as Workday, SAP SuccessFactors, or BambooHR, or communication platforms such as Slack and Microsoft Teams, relying on ATS connections for most downstream data handoffs. Pricing is custom-only with no public rates listed. The /pricing page returns a 404 and all pricing requires direct contact with the sales team. This is standard for enterprise recruiting technology of this scope but limits evaluation for teams with procurement requirements that mandate upfront pricing comparison. There is no self-serve tier or trial. Budget ranges for platforms of comparable scope typically fall between $20,000 and $150,000 per year depending on team size, feature set, and contract length, but these figures are not confirmed by hireEZ and should be treated as directional only. hireEZ is not the right fit for recruiting teams with inconsistent or low hiring volume: the autonomous sourcing, fraud detection, and AI screening capabilities deliver the strongest ROI when processing hundreds of candidates per month rather than a handful of requisitions per quarter. Teams needing transparent upfront pricing for procurement should evaluate Workable (from $299/month), Fetcher (from $379/month), or Ashby, which publish pricing publicly. Organisations that only need inbound ATS functionality without outbound sourcing should evaluate Greenhouse or Lever, which focus on structured interviewing and pipeline management without the sourcing automation layer. Q2 2026 state: ResumeSense launched November 2025, adding resume integrity detection that flags hidden text, prompt injections, and AI-manipulated content before candidates reach recruiters, with 3-5% of resumes in internal testing identified as containing deceptive content. EZ Agent conducts autonomous AI phone screens via voice or chat with structured question sets, surfacing standardised insights for recruiter comparison. G2 rating stands at 4.6/5 across 264 verified reviews. Security posture confirmed: SOC 2 Type II, ISO 27001, GDPR, and CCPA. No MCP server published as of Q2 2026.