Criteria Corp
Evidence-based talent success through predictive AI assessments and video intelligence.
Updated 11d ago
Has API
PricingFree
Free
Cognitive Aptitude Testing
Emotional Intelligence Assessment
Asynchronous Video Interviewing
Harver (formerly Outmatch)
4.4
Paid Users highly value the scientific rigor and the reduction in manual screening time. Some note that the implementation phase is intensive.
Science-backed talent acquisition and automated assessment platform for enterprise hiring.
Paid pricingAPI availableUpdated 2026-03-17
Best fits
Automated Candidate ScreeningBehavioral Benchmarking
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About Harver (formerly Outmatch)
Harver, following its 2021 merger with Outmatch, has evolved into a comprehensive talent acquisition suite that leverages behavioral science and machine learning to optimize the recruitment lifecycle. For 2026, the platform stands as a leader in 'Pre-hire Intelligence,' moving beyond simple psychometric testing to provide a unified data layer across candidate selection. The technical architecture is built on a massive proprietary dataset of candidate behaviors and job performance outcomes, allowing for predictive modeling that identifies top-tier talent while actively mitigating cognitive bias through audited AI algorithms. The platform's 2026 positioning emphasizes 'The Science of Hiring,' integrating asynchronous video interviewing, automated reference checking, and game-based cognitive assessments into a seamless workflow. Designed for high-volume enterprise environments, Harver facilitates complex decision-making through automated candidate ranking based on custom benchmarks tailored to specific organizational success metrics. Its infrastructure is robust, supporting deep integrations with major Applicant Tracking Systems (ATS) and providing real-time analytics to measure the ROI of hiring decisions through turnover reduction and performance gain metrics.
Core Capabilities
Harver, following its 2021 merger with Outmatch, has evolved into a comprehensive talent acquisition suite that leverages behavioral science and machine learning to optimize the recruitment lifecycle.
