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Science-backed talent acquisition and automated assessment platform for enterprise hiring.

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.
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.
Explore all tools that specialize in video interviewing. This domain focus ensures Harver (formerly Outmatch) delivers optimized results for this specific requirement.
Uses machine learning to compare candidate assessment data against historical high-performer benchmarks within the specific organization.
Captures and analyzes video interviews using NLP and sentiment analysis to identify key soft skills and communication styles.
Interactive modules that measure processing speed, memory, and problem-solving through gamified interfaces.
Automated outreach to references with structured surveys that feed data back into the candidate profile.
Embedded multimedia experiences that show candidates the day-to-day realities of the role.
Algorithmic auditing that checks for adverse impact across demographic groups in real-time.
PowerBI/Tableau-style dashboards that track time-to-hire, quality-of-hire, and funnel conversion rates.
Conduct a Technical Needs Analysis to define ATS integration requirements (REST API or Native).
Configure SSO (SAML 2.0) for internal recruiter and hiring manager access.
Define 'Success Profiles' by ingesting performance data of high-performing current employees.
Select and customize assessment modules (Behavioral, Cognitive, Skills).
Design the candidate experience workflow, including Realistic Job Previews (RJP).
Set up automated scoring thresholds for candidate tiering (Red/Yellow/Green).
Configure automated reference checking via the SkillSurvey integration engine.
Execute a UAT (User Acceptance Testing) phase with a control group of candidates.
Launch recruiter training sessions on interpreting AI-driven candidate insights.
Go-live with ATS-integrated automated recruitment workflows.
All Set
Ready to go
Verified feedback from other users.
"Users highly value the scientific rigor and the reduction in manual screening time. Some note that the implementation phase is intensive."
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