| What it does | AI recruitment operating system for auditable, vacancy-centric hiring with human oversight
| Measure candidates' real AI capability before you hire
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| Stage | Startup
| Not given
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| Founded | Not given
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| Based in | UA
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| Pricing model | Freemium
| Freemium
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| Pricing | Free: $0/month (3 active vacancies, 10 candidates up to 5 per vacancy, 150 AI generation units/month). Standard: $4.99/month (10 active vacancies, 250 candidates up to 50 per vacancy, 500 AI generation units/month). Premium: $19.99/month (unlimited active vacancies and candidates, unlimited AI gener
| Free for individuals; institutional licensing available with pricing determined by Order Form
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| Key features | - Vacancy-centric workflow organizing hiring around the role with rubric, pipeline, candidates and decisions
- CV RAG matching with explanations ranking candidates against rubric with evidence
- Standardized scoring rubrics with weighted competencies measured equally across all candidates
- Live interview console with real-time AI insights, signals and follow-ups
- Complete audit trail logging scores, edits and overrides with who, when and why
- Web and mobile apps synchronized across browser, iPhone and Android
- AI-powered CV parsing and structured extraction of roles, skills and tenure
- Exportable reports and PDF exports for audit packs and compliance
| - ATS integration for automatic candidate invitations
- 60-minute task-based assessment with AI colleague
- Standardized scoring across five dimensions: judgment, questioning, critical thinking, reasoning and adaptability
- AIQ™ credential with evidence linked to observed behavior
- Interaction pattern classification: AI Native, AI Collaborator, or AI Dependent
- No personality, cognitive ability or demographic inference
- SOC 2 Type II and ISO 27001 compliance
- FERPA, GDPR and HIPAA compliant
- SAML SSO support
- WCAG 2.1 AA accessibility
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| What makes it different | - Every fit score links back to exact CV passages with override logging for full auditability
- Human-in-the-loop design where AI suggests but recruiters retain final hiring verdict
- Two-sided flywheel where candidate participation in mock interviews enriches matching data
- Consistent scoring across recruiters with standardized rubrics preventing subjective variation
- Mobile-first design enabling full hiring pipeline management from pocket with iOS and Android apps
| - Measures observed AI behavior rather than self-reported capability or prompting skill
- Built on SLPT, a published open standard that can be audited
- Every score includes evidence tied directly to what candidates actually did
- Used by universities and enterprises for hiring, learning and AI governance
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 2 ▲ +1 (up) since last check | 7 ● no change since last check |
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| Trust Flow (Majestic) | 5 | 4 |
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| Citation Flow (Majestic) | 22 | 20 |
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| Referring domains (Majestic) | 11 | 24 |
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