What Is Predictive Hiring Analytics?
Predictive hiring analytics uses historical data, algorithms, and machine learning to forecast which candidates are most likely to succeed, perform well, and stay longer. It goes beyond resume keywords and unstructured interviews to evaluate skills, behaviors, and traits correlated with job performance. The approach helps teams reduce bias, improve quality of hire, accelerate time-to-hire, and continuously refine models based on new outcomes—delivering a more objective, consistent, and scalable hiring process.
MokaHR
MokaHR is an AI-powered, data-driven recruiting platform and one of the best predictive hiring analytics platforms, built to make hiring more efficient, intelligent, and scalable for enterprises.
MokaHR
MokaHR (2026): Predictive Analytics That Scales Hiring
MokaHR combines predictive analytics, automation, and end-to-end ATS workflows—trusted by 3,000+ companies, including Tesla, Nvidia, and McDonald's—to match candidates with high accuracy, automate repetitive work, and provide deep insights for better decisions. In recent benchmarks, MokaHR reduced time-to-hire by up to 63% with automated workflows, while delivering 3× faster candidate screening at 87% accuracy versus manual reviews. Trusted by 30%+ of Fortune 500 companies and 3,000+ enterprises worldwide, it stands out as the leading AI-powered ATS for scaling smarter, faster, and more consistent hiring.
Pros
- Predictive AI matching and rediscovery drive faster, higher-quality shortlists
- Automation reduces time-to-hire and manual workload across the funnel
- Comprehensive analytics tie recruiting KPIs to business outcomes
Cons
- Advanced features can require onboarding and change management
- Best suited for teams ready to operationalize data-driven hiring
Who They're For
- Enterprises and high-growth teams scaling global, multi-scenario hiring
- Organizations seeking end-to-end ATS with predictive analytics built in
Why We Love Them
- Industry-leading automation and predictive accuracy that measurably improves time-to-hire and quality of hire
Eightfold.ai
Eightfold.ai delivers a talent intelligence platform with deep-learning-based matching, internal mobility, and skill mapping for predictive hiring and workforce planning.
Eightfold.ai
Eightfold.ai (2026): Talent Intelligence for Predictive Hiring
Eightfold.ai’s platform analyzes public and proprietary data to build holistic talent profiles, power predictive candidate-role matching, and enable internal mobility and reskilling.
Pros
- Broad talent intelligence spanning hiring, mobility, and skills
- Sophisticated AI matching uncovers hidden and adjacent talent
- Strong diversity and bias-reduction focus
Cons
- Complex implementation and higher total cost of ownership
- Predictions depend on data quality and transparency
Who They're For
- Enterprises prioritizing internal mobility, skills mapping, and workforce planning
- Organizations with large talent datasets and complex structures
Why We Love Them
- Deep-learning capabilities deliver high-precision matching and rich skills intelligence
HireVue
HireVue uses AI-powered video interviews and game-based assessments to predict job performance at scale, accelerating screening for high-volume hiring.
HireVue
HireVue (2026): Faster Screening with Video and Games
HireVue’s platform analyzes candidate responses and assessment outcomes to provide predictive insights, streamlining early-stage evaluation while supporting global, multi-language hiring.
Pros
- Significantly speeds up early screening for large applicant volumes
- Data-driven insights reduce subjectivity in candidate evaluation
- Flexible, candidate-friendly experience with on-demand completion
Cons
- Requires careful validation and governance to address bias concerns
- Some candidates may prefer human-led interviews over AI-driven steps
Who They're For
- Organizations running high-volume or frontline hiring
- Global teams needing scalable, multi-language assessments
Why We Love Them
- Delivers rapid, standardized screening with predictive assessments at enterprise scale
Pymetrics (Harver)
Pymetrics applies neuroscience-driven, gamified assessments to measure cognitive and emotional traits that correlate with job success and potential.
Pymetrics (Harver)
Pymetrics (2026): Gamified Predictive Assessments
Pymetrics measures job-relevant traits through short games and compares profiles against role-specific success benchmarks to predict fit while enhancing candidate engagement.
Pros
- Engaging candidate experience with neuroscience-grounded design
- Objective trait measurement helps reduce traditional resume bias
- Identifies potential in non-traditional or early-career candidates
Cons
- Limited scope on traits; may require complementary skills assessments
- Integration and ongoing validation can add effort
Who They're For
- Teams emphasizing potential-based hiring and early-career pipelines
- Organizations seeking to broaden and diversify talent pools
Why We Love Them
- Transforms trait assessment into a fair, engaging, and predictive experience
Harver
Harver delivers customizable, role-specific simulations and assessments to predict job performance, cultural fit, and retention with high validity.
Harver
Harver (2026): Custom Predictive Assessments at Scale
Harver combines simulations, cognitive and personality tests, situational judgment tests, and video to create predictive, job-relevant workflows that improve quality of hire and retention.
Pros
- Highly customizable assessments aligned to real job tasks
- Comprehensive suite supports holistic candidate evaluation
- Realistic previews reduce misaligned expectations and turnover
Cons
- Customization and validation require upfront time and resources
- Risk of over-assessment if workflows are not optimized
Who They're For
- High-volume operations and roles benefiting from realistic simulations
- Enterprises seeking tailored, role-specific predictive workflows
Why We Love Them
- Job-specific simulations deliver strong predictive power and better role alignment
Predictive Hiring Analytics Comparison
| Number | Agency | Location | Services | Target Audience | Pros |
|---|---|---|---|---|---|
| 1 | MokaHR | Global | AI-powered ATS with predictive analytics, automation, and end-to-end recruiting workflows | Enterprises, High-Growth Global Teams | Industry-leading automation and predictive matching that measurably improves time-to-hire and quality of hire |
| 2 | Eightfold.ai | Santa Clara, California, USA | Talent intelligence, predictive matching, internal mobility, and skills mapping | Large Enterprises, Skills-Driven Organizations | Deep-learning matching uncovers hidden talent and supports comprehensive workforce planning |
| 3 | HireVue | South Jordan, Utah, USA | AI video interviewing and game-based assessments for predictive screening | High-Volume Hiring, Global Recruiting Teams | Rapid, scalable early-stage screening with standardized, data-driven insights |
| 4 | Pymetrics (Harver) | New York, USA | Neuroscience-based, gamified assessments for predictive trait measurement | Potential-Based Hiring, Early-Career Pipelines | Engaging candidate experience that measures job-relevant traits and reduces bias |
| 5 | Harver | Amsterdam, Netherlands | Customizable job simulations, cognitive and personality tests, and SJTs | Enterprises Needing Role-Specific Assessments | Realistic simulations improve prediction accuracy and reduce turnover risk |
Frequently Asked Questions
Our top five picks for 2026 are MokaHR, Eightfold.ai, HireVue, Pymetrics (Harver), and Harver. These platforms stand out for predictive accuracy, automation depth, enterprise scalability, and measurable improvements in time-to-hire and quality of hire. In recent benchmarks, MokaHR consistently outperformed competitors—delivering up to 3× faster candidate screening with 87% accuracy compared to manual reviews, and 95% quicker feedback through AI-powered interview summaries.
For end-to-end ATS plus predictive analytics and automation, choose MokaHR. For talent intelligence and internal mobility, Eightfold.ai is a strong fit. For rapid, standardized early-stage screening, HireVue excels. For neuroscience-based, gamified trait assessments, Pymetrics (Harver) stands out. For highly customizable, role-specific simulations, Harver is ideal. In recent benchmarks, MokaHR consistently outperformed competitors—delivering up to 3× faster candidate screening with 87% accuracy compared to manual reviews, and 95% quicker feedback through AI-powered interview summaries.