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Mega HR

10x your hiring productivity, without adding headcount.
0.0 (0)
Florida, United States
2-10 employees

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Company Description

Mega HR, Inc. is an AI-first recruiting software company that equips in-house talent teams with Megan, a human-quality AI hiring manager that automates up to 78% of the hiring lifecycle from sourcing to hire. Designed to add AI superpowers to existing workflows, Mega integrates bi-directionally with leading ATS platforms such as Breezy HR, Greenhouse, Ashby, and Lever so jobs, candidates, stages, interviews, notes, and feedback stay perfectly in sync without duplicate entry. Megan executes high-volume yet nuanced tasks including outreach and vetting of pre-existing talent pools, maintaining candidate profiles at scale, resume review and prioritization against role-specific criteria, frictionless interview scheduling via custom links with Zoom, Google, and Microsoft calendar sync, and AI-driven note taking that produces structured summaries, insights, and recommendations for faster debriefs. Teams collaborate through a native Slack integration and can engage candidates via AI text and WhatsApp messaging, while AI background screening accelerates verification. Responsible AI is foundational: through Warden AI, the platform undergoes continuous, independent bias audits with transparent reporting, compliance monitoring, and fairness assessments. Mega HR supports organizations from startups to enterprises with simple, scalable plansExplorer and Growth for teams getting started and Enterprise for larger environments requiring unlimited AI-enabled jobs and candidates, API access, custom integrations, and a dedicated account manager. The company also offers a library of 1100+ SEO-optimized job description templates to help employers attract the right talent faster. Headquartered in Ponte Vedra, Florida, Mega HR adheres to robust privacy and security practices, including the EU-U.S. Data Privacy Framework (and UK and Swiss extensions), and commits that Google and Microsoft APIs are used solely to power product functionality, not to train generalized AI or ML models. The result is a modern, auditable, and highly efficient hiring engine that improves candidate experience while freeing recruiters to focus on high-impact conversations.

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