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Company Description
InterWiz AI is a hiring technology company that delivers AI-led interviews to help staffing agencies and in-house recruiting teams screen candidates faster, more consistently, and with greater confidence. Built for both high-volume screening and deep technical assessment, the platform runs fully guided AI interviews that evaluate professional and technical skills, probe with intelligent follow-ups, and generate structured reports with scores, insights, trust signals, recordings, and transcripts. InterWiz combines ready-to-use interview templates covering 120+ skills with live coding challenges, role-specific question pools, and the ability to tailor assessments to unique job needs. Recruiters save time with automated scheduling that lets candidates book interviews without back-and-forth emails, and hiring managers benefit from standardized, bias-aware evaluations designed to improve decision quality. InterWiz integrates smoothly into existing workflows, with connections to tools such as Zoho, Slack, and Pinpoint, and supports both screening and in-depth interviews so teams can qualify large pipelines and then go deep on finalists. The candidate experience is intentionally conversational and flexiblecandidates can navigate sections, handle coding tasks, and interact naturally with the AI interviewer, improving completion rates and brand perception. Customers report measurable outcomes including a 60% reduction in time to hire and improved accuracy in hiring decisions, while organizations use the built-in ROI calculator to forecast savings across interviews and resume screening. Pricing is simple and usage-basedper screening interview, per in-depth interview, and per 100 CVs evaluatedso teams only pay for what they use with no upfront commitments. Designed for staffing and tech teams alike, InterWiz helps agencies submit stronger shortlists faster and enables engineering, product, and design leaders to assess talent before competitors reach the shortlist, all while promoting objective, repeatable hiring decisions at scale.
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