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Whether you’re just getting started or already a pro, our FAQ section covers everything you need—from billing to features—to make your experience smoother.

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Plans & Pricing

Security & Data

What kind of support is included?

We offer tier-based support depending on your plan:

Free plan users get access to community forums and our self-serve Help Center.
Pro & Business users enjoy priority email support and live chat during business hours.
Enterprise plans come with a dedicated success manager and 24/7 assistance.

Can I switch plans later?

Yes, you can switch plans at any time. We've made it easy to upgrade or downgrade your subscription based on your changing needs:

Upgrading: When you upgrade to a higher plan, the changes take effect immediately. We'll prorate your billing and only charge you the difference for the remainder of your billing cycle.
Downgrading: You can downgrade your plan at any time, and the changes will take effect at the end of your current billing cycle.
Team to Individual: If you need to switch from a team plan to an individual one, you can do so from your billing settings. Note that team-specific features will no longer be available.
Free to Paid: Upgrading from a free plan to a paid plan gives you immediate access to premium features.

Do you offer discounts on bulk credit purchase?

Yes, we offer special pricing for high volume credit purchase

Eligible on $150 and above credit purchase

What is “Build Your Own Subscription”?

“BYOS” is Yuruka’s flexible pricing model that lets you create a plan tailored to your exact hiring needs.

Each feature is modular, so you only pay for what adds value to your business.

Cost efficiency

Scalability

Transparency

In short, it’s like a custom hiring toolkit—you build it your way, and Yuruka grows with you.

Can I get a refund if I cancel early?

We do not provide refunds once credits or subscriptions have been purchased.

Refunds or adjustments are only considered in rare cases where:

There is a technical issue on our platform that prevents you from using purchased credits/features.
A billing error occurs from our side.

In such cases, our support team will review the issue and resolve it promptly.

Is there an API available?

Yes, we provide a comprehensive REST API for enterprise level purchase with monthly volume of above $999.

How Yuruka AI Transforms Your Hiring Journey

Watch Your Recruitment Process Run Itself:

Yuruka's AI handles every step of recruitment automatically - from the moment someone applies to their first day on the job. Here's how it works in real life.

1. The journey begins with application Submission

Inbuilt Candidate Source Portal: An applicant is added through our in-house candidate database sourcing portal or through external job portals. Their resume enters Yuruka's system, ready to be evaluated against your specific requirements.
Advanced Applicant Tracking System Integration: Yuruka's applicant tracking system seamlessly captures every application through your job portal, automatically parsing candidate data into our ATS software for instant organization. This recruitment software eliminates manual data entry and ensures no qualified candidate falls through the cracks in your hiring pipeline.
Intelligent Resume Parsing Technology: Our AI resume parsing software instantly extracts key information from resumes in any format, including contact details, work experience, education, and skills. This automated candidate evaluation process creates structured candidate profiles that integrate perfectly with your existing talent management system.
Multi-Channel Application Processing: The platform supports applications from multiple sources, including job boards, career pages, and social media platforms. Our recruitment CRM consolidates all applications into a unified dashboard, providing complete visibility across all your hiring automation channels.

2. Improve and Edit Resume For Free

If needed, the applicant can use Yuruka's free resume builder and editor to create or improve their resume before submission and connect with the interview assessment system.
AI-Powered Resume Enhancement: Our resume builder AI uses machine learning to suggest improvements based on job requirements and industry standards. Candidates can create professional resumes that are optimized for AI resume screening systems, increasing their chances of passing initial screening filters.
Industry-Specific Template Library: The free resume builder includes templates tailored for different industries and role levels. Each template is designed to work seamlessly with applicant tracking systems, ensuring proper formatting and keyword optimization for automated hiring platforms.
Real-Time Optimization Feedback: As candidates build their resumes, our AI hiring assistant provides instant feedback on keyword density, skills matching, and format optimization. This ensures resumes are perfectly aligned with recruitment software requirements and ATS software parsing capabilities.

3. AI Recruiter matches resumes

Yuruka's AI analyzes the applicant's resume against your job description - not through keyword matching, but by understanding their complete skillset and experience.
Advanced Semantic Matching Algorithm: Unlike traditional keyword-based systems, our AI candidate matching technology uses natural language processing to understand context, skills transferability, and experience relevance. This resume matching software evaluates candidates holistically rather than relying solely on exact keyword matches.
Skill Gap Analysis and Scoring: The AI resume screening process identifies not just perfect matches but also candidates with transferable skills and growth potential. Our algorithm provides detailed scoring across technical skills, soft skills, and cultural fit indicators for comprehensive candidate assessment.
Bias-Free Evaluation Process: Our AI-powered hiring system is designed to minimize unconscious bias by focusing on skills, experience, and qualifications rather than demographic indicators. This ensures fair evaluation while maintaining the efficiency of automated candidate evaluation processes.

4. Automated, monitored candidate AI calls

Automated AI Calls: The AI system automatically conducts candidate calls. It schedules and conducts preliminary phone screenings based on candidate availability. This process reduces scheduling conflicts, is time-saving, and ensures consistent evaluation criteria across all candidates.
Natural Language Processing: Our voice AI technology uses advanced speech recognition and sentiment analysis to evaluate candidate responses in real-time. The AI hiring software assesses communication skills, enthusiasm, and cultural fit during these automated conversations.
Comprehensive Call Analytics: Every AI-conducted call is automatically transcribed, analyzed, and scored using our proprietary algorithms. This data feeds into our recruitment analytics system, providing detailed insights for hiring managers to make informed decisions.

5. Interviews are scheduled with real time assessment

The AI conducts a professional video interview, asking job-specific questions and testing relevant skills based on the role requirements. During the interview, AI tests candidates skills on screen with assessments and continuously evaluates responses.
Comprehensive AI Video Interview Platform: Our video interview software combines live and asynchronous interview capabilities with built-in assessment tools. The AI video interview platform evaluates both verbal and non-verbal communication, providing a complete picture of candidate capabilities.
Real-Time Skill Assessment Integration: During interviews, candidates complete relevant skill assessments that are automatically scored and integrated into their evaluation. This video recruitment platform ensures technical competency is verified alongside soft skills and cultural fit.
Advanced Behavioural Analysis: The platform uses computer vision and machine learning to analyze facial expressions, tone of voice, and response patterns. This AI interviewer technology provides objective insights into candidate confidence, authenticity, and emotional intelligence.

6. Detailed Data-Driven Candidate Report

You receive comprehensive insights about the candidate-interview scores, skill assessments, strengths, concerns, and AI recommendations with ratings.
Comprehensive Scoring Matrix: Each candidate receives detailed scores across multiple dimensions including technical skills, soft skills, cultural fit, and growth potential. Our candidate assessment system provides both quantitative scores and qualitative insights for informed decision-making.
Predictive Performance Analytics: Using machine learning models trained on successful hire data, the platform predicts candidate success probability and potential longevity. These hiring insights help recruiters identify candidates who will not only perform well but also stay with the organization long-term.
Customizable Evaluation Criteria: The reporting system allows companies to weight different evaluation criteria based on role requirements and company culture. This flexibility ensures the recruitment analytics align with specific organizational needs and hiring objectives.

7. Smart Shortlisting Without Bias

AI automatically ranks all candidates and creates your shortlist based on overall performance and job fit, not just individual scores.
AI-Driven Ranking Algorithm: Our automated hiring platform uses sophisticated algorithms to rank candidates based on overall fit rather than individual scores. This holistic approach to talent management ensures the best candidates rise to the top of your shortlist.
Dynamic Weighting System: The platform automatically adjusts ranking criteria based on role requirements, urgency, and company preferences. This AI hiring software learns from your hiring decisions to continuously improve shortlisting accuracy.
Collaborative Decision Tools: Multiple stakeholders can provide input on shortlisted candidates through our recruitment CRM interface. The system aggregates feedback and provides consensus recommendations for final hiring decisions.

8. Background Checks and Candidate Verification

For shortlisted candidates, AI initiates automatic background checks, verifying credentials and employment history without manual intervention.
Automated Verification Workflows: Our background verification software automatically initiates comprehensive background checks for shortlisted candidates. The automated background verification process includes employment history, education verification, and reference checks.
AI-Enhanced Fraud Detection: The platform uses AI background checks to identify inconsistencies in candidate information and potential red flags. This technology cross-references multiple data sources to ensure the accuracy and authenticity of candidate credentials.
Compliance and Security Framework: All background verification processes comply with relevant employment laws and data protection regulations. Our credential verification system maintains audit trails and ensures secure handling of sensitive candidate information.

9. A Simple Process with Seamless Onboarding

Once you select a candidate, AI manages the entire onboarding process - contract handling, document signing, and workflow setup for employees, freelancers, or vendors.
End-to-End Onboarding Automation: The employee onboarding software manages the entire onboarding workflow from offer acceptance to first day setup. This onboarding automation includes contract generation, document collection, and system access provisioning.
Digital Document Management: Our automated onboarding platform eliminates paperwork through digital document signing, policy acknowledgments, and compliance training delivery. The system maintains complete audit trails for HR and legal compliance requirements.
Role-Specific Onboarding Pathways: Different roles receive customized onboarding experiences based on department, seniority, and function. This seamless onboarding process ensures new hires receive relevant information and training for their specific positions.

10. Continuous Learning And Improvements

Every hiring decision feeds back into the AI, improving accuracy and matching quality for future recruitment cycles.
Machine Learning Model Optimization: The platform continuously analyzes hiring outcomes to improve its AI recruitment tools and predictive accuracy. This machine learning feedback loop ensures the hiring automation system becomes more effective over time.
Performance Correlation Analysis: By tracking hired candidates' performance over time, the system identifies patterns and characteristics that predict success. These insights feed back into the AI candidate matching algorithms for improved future recommendations.
Adaptive Algorithm Updates: The AI-powered hiring system regularly updates its evaluation criteria based on changing job market conditions and organizational needs. This continuous learning ensures your recruitment software stays current with industry trends.

The Result:

What security measures should I look for when evaluating a SaaS provider?

When evaluating a SaaS provider, look for SOC 2 compliance, data encryption (both in transit and at rest), multi-factor authentication, regular security audits, and a clear incident response plan. Ask about their backup procedures, data retention policies, and whether they have a dedicated security team. Review their history of security incidents and how they were handled.

How can I ensure my company's data remains private when using SaaS applications?

To ensure data privacy in SaaS applications, implement strict access controls with role-based permissions, use single sign-on (SSO) solutions, regularly audit user access, and enforce strong password policies. Review the SaaS provider's privacy policy and data processing agreements carefully. Consider using a Cloud Access Security Broker (CASB) to monitor data movement and enforce security policies across all your SaaS applications.

What are the most common data security risks when using SaaS platforms?

The most common SaaS security risks include unauthorized access due to poor authentication practices, data breaches from insecure APIs, insufficient data encryption, lack of visibility into data handling practices, compliance violations, and shadow IT (unauthorized SaaS usage). Insider threats and account hijacking through phishing attacks also pose significant risks to SaaS security.

How should we handle compliance requirements when moving to SaaS solutions?

When migrating to SaaS solutions while maintaining compliance, first identify which regulations apply to your organization (GDPR, HIPAA, etc.). Ensure your SaaS providers offer compliance features specifically designed for these regulations. Get written guarantees about compliance in your service agreements, maintain detailed documentation of all compliance measures, and conduct regular compliance audits of your SaaS ecosystem.

What should our disaster recovery plan include for SaaS applications?

A comprehensive SaaS disaster recovery plan should include regular data backups independent of the SaaS provider, documented procedures for data restoration, alternative access methods during service outages, clear communication protocols during incidents, and regular testing of the recovery procedures. Consider implementing a multi-SaaS strategy for critical applications to avoid single points of failure.

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