Predictive assessment and hiring automation platform for talent teams
Harver sells a science-based hiring platform covering assessments, video interviews, scheduling and reference checks, built on Node.js, TypeScript, MongoDB and PostgreSQL with Python models like XGBoost and Random Forest powering predictions. Finance-side signals stand out: private equity reporting, multi-jurisdiction audits and M&A due diligence suggest a PE-backed company preparing for acquisitions or scale.
Harver, founded in 2015 and headquartered in Atlanta, GA, provides hiring software that helps organizations assess, select and develop candidates. Its platform combines predictive assessments grounded in industrial-organizational psychology with video interviewing, interview scheduling and reference checking. Customers are talent acquisition teams seeking faster, fairer hiring decisions. The privately held company employs 51–200 people and hires in the United States and the Netherlands.
Harver uses Node.js, TypeScript, JavaScript and Python on AWS, with MongoDB, PostgreSQL and SQL Server, Looker for analytics, Playwright and Postman for testing, plus Salesforce, Zendesk, Jira and Okta.
Harver is headquartered in Atlanta, GA, and currently hires in the United States and the Netherlands.
Yes, hiring is accelerating across a mix of data, engineering, finance, marketing and sales roles, mostly at mid and senior levels, in the United States and the Netherlands.
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Harver's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.