Choose the plan that fits your hiring volume. High candidate intake with transparent, per-job AI candidate analysis allowances.
MonthlyAnnual
Transparent, Value-Based AI Capacity
We separate Candidate Intake (how many candidates can apply) from AI Candidate Analysis (how many candidates XZohra evaluates through the AI pipeline). Receive large candidate pools freely, while AI credits are only consumed when candidates enter the AI evaluation workflow.
Free Forever
Candidate Collection
Best for recruiters exploring Xzohra and managing basic candidate collection.
$0/month
Candidate Intake:Up to 100 candidates
AI Candidate Usage:No AI Analysis
Up to 100 candidate applications / job
3 active job postings
180-day job auto-close protection
Reopen job within 90 days
Manual applicant pipeline management
Standard resume view & download
1 team seat
AI Candidate Analysis & Scoring
AI Audio & Video Interviews
AI-Generated Coding & MCQ Tests
Automated Candidate Ranking
✨ Upgrade to Starter to unlock AI candidate scoring and evaluations.
Standardized psychometric evaluations: Big 5, DISC, and 16 Persona Types
Automated Candidate Auto-Ranking
Instant ranking and fit score breakdown for high-volume candidate cohorts
Basic
Advanced
Full Auto-Pilot
Custom Matrix
Interactive Threshold Score Tuning
Lower or raise score thresholds (e.g. 80 → 70) to dynamically pull more candidates into pipeline
Hiring Workflow & Lifecycle(Hiring cycles, job reopening, and cooling-off period protection)
Hiring Cycles & Job Reopen supportKey Metric
Reopen closed jobs for new hiring cycles without creating messy duplicate postings
Persistent AI Usage on Reopened Jobs
Remaining AI candidate analyses stay tied to the job across multiple hiring cycles
N/A
Configurable Cooling-Off Period
Select 1–12 month cooling period for rejected candidates, calculated strictly from rejection date
Fixed 3 mo
1–12 Months
1–12 Months
1–12 Months
Custom Rule
Preserved Candidate History & Pipeline
Full historical audit trail across all hiring cycles with zero data loss
AI Auto-Pilot Pipeline Automation
Automatically advance top candidates to next round without manual clicks
Recruiter Collaboration & Management(Team capabilities, candidate export, and analytics)
Team member seats
Number of recruiter seats included in the workspace
1 seat
2 seats
5 seats
25 seats
Unlimited
Candidate export (CSV / PDF)
Export evaluated candidate profiles, scores, and interview transcripts
Basic CSV
Full Export
Full Export
Full Export
Automated Sync
Hiring analytics & funnel metrics
Real-time dashboards for time-to-hire, funnel conversion, and assessment stats
Basic
Standard
Advanced
Advanced
Custom BI Suite
Support, Security & Integration(Security compliance, enterprise SLA, and developer API)
Customer support
Helpdesk channel and response time guarantee
Community / Email
Standard Email
Priority Support
Priority + Chat
Dedicated Manager
REST API & Webhooks
Programmatic API access for ATS integration and automated candidate ingest
10,000 req/day
50,000+ req/day
SSO & Enterprise Authentication
Single Sign-On with SAML 2.0, Okta, and Azure Active Directory
Custom Branding & White-Label Portal
Custom domain and branded candidate application portal
Market Value Perspective
How XZohra Compares
You don’t need to pay enterprise-level recruitment software prices or deal with opaque add-on contracts to get powerful AI-assisted hiring capabilities.
Capability / Dimension
XZohra Platform
Typical Higher-Priced Platforms
AI Candidate Evaluation & Semantic Scoring
Built-in (Task-first semantic match across all pillars)
Often restricted to high-tier enterprise plans or third-party add-ons
AI Multimodal Screening Interviews
Included (Conversational audio, video & MCQ assessments)
Usually sold as expensive standalone video interview platforms
Transparent AI Candidate Usage per Job
Clear per-job allowance (Unused credits stay with the job)
Vague usage models, opaque tokens, or unpredictable overage fees
Candidate Pipeline & Stage Tracking
Visual ATS pipeline with automated stage progression
✓ Standard in most platforms
Reopen Job Across Multiple Hiring Cycles
Seamless (Preserves candidate history & remaining AI usage)
Often forces creation of duplicate jobs, fragmenting candidate data
Configurable Candidate Cooling-off Period
Built-in (1–12 months calculated from original rejection date)
Rarely automated; usually requires manual recruiter tagging
Dynamic Threshold Score Tuning
Interactive slider to expand or narrow pipeline on demand
Fixed rules or requires re-running entire filter workflows
Integrated Coding Sandbox & Assessments
Built-in Judge0 IDE (8+ languages, instant test evaluation)
Requires separate third-party assessment subscriptions
Accessible Pricing Entry Point
Starts at $19/mo (Free tier available, no sales calls needed)
Often starts at $200–$500+/mo with mandatory annual commitments
Setup & Time-to-Value
Instant activation (Post a job & evaluate in under 5 minutes)
Lengthy enterprise onboarding, demos, and implementation cycles
💡 No Sales Calls or Locked Contracts: Start with any plan, upgrade dynamically as your candidate pipeline scales, and cancel anytime with zero lock-in.
30-Day Money-Back Guarantee
Not satisfied with your AI shortlisting results? Receive a full refund within 30 days, no questions asked.
Instant Activation & Zero Lock-in
Start evaluating candidates immediately after signup. Upgrade, downgrade, or cancel anytime with zero friction.
Candidate Data Privacy & Security
Enterprise-grade data encryption and proctoring privacy. Your candidate resumes are never used to train public models.
Got Questions?
Frequently Asked Questions
Everything you need to know about candidate intake, AI usage allowances, and hiring cycles.
Candidate Applications refers to the total number of candidate resumes you can collect and store for a job requisition (e.g. 500 applications on Starter). AI Candidate Analysis refers to how many of those candidates XZohra evaluates through the deep AI scoring and interview pipeline (e.g. 50 analyses on Starter). You can freely receive high applicant volume, and AI credits are only consumed when candidates enter the AI evaluation workflow.
