Mega HR

Hiring takes time, especially when teams are buried in resumes, interview scheduling, and follow-up tasks. Mega HR is designed to reduce that load with AI tools that help recruiters move candidates through the hiring process faster while keeping evaluations more structured and consistent.

At its core, Mega HR is an AI-powered hiring platform built around its AI hiring assistant, Megan. The platform helps teams score and shortlist applicants, run AI-led interviews, generate interview insights, and manage hiring workflows inside an applicant tracking system or as a standalone tool.

What is Mega HR?

Mega HR is an AI recruiting and hiring platform created by Mega HR, Inc. It is built for companies that want to automate repetitive hiring work without losing visibility into candidate quality. The platform focuses on planning, screening, interviewing, and evaluating candidates with role-aware AI.

Instead of acting like a simple chatbot, Mega HR is positioned as an AI hiring layer that can work alongside existing recruiting workflows. It can help teams review resumes, conduct structured interviews, summarize results, and support decision-making with clearer candidate insights.

Who should use Mega HR?

Mega HR is mainly aimed at recruiters, talent acquisition teams, hiring managers, and companies that need to scale hiring. It can be especially useful for organizations that handle a high number of applicants and want to reduce manual screening work.

It also makes sense for teams that care about consistency in hiring. Because the platform uses structured scoring, interview workflows, and explainable reasoning, it can help teams standardize how candidates are reviewed across roles and interviewers.

Main features of Mega HR

One of Mega HR's biggest strengths is that it covers several parts of the hiring process in one platform. Rather than offering only one AI feature, it combines shortlisting, interviewing, scheduling, and insights.

AI scoring and shortlisting

Mega HR can evaluate resumes and applications against role-aware criteria to help recruiters identify stronger candidates faster. It looks beyond simple keyword matching and provides reasons behind its recommendations, which is useful when teams want more transparent shortlists.

AI interviews

The platform offers AI-led voice or video interviews that can run around the clock. These interviews are structured, include dynamic follow-up questions, and produce transcripts and response breakdowns that can be reviewed later.

Interview insights

After interviews, Mega HR turns conversations into decision-ready summaries. Teams can review transcripts, highlights, question-level analysis, and feedback signals that help compare candidates more consistently.

AI hiring manager

Megan, the platform's AI hiring teammate, helps with workflow tasks such as reviewing candidates, summarizing interviews, re-engaging talent pools, and keeping hiring progress moving. It is meant to reduce busywork so recruiters can focus more on judgment and communication.

Scheduling and workflow support

Mega HR also includes interview scheduling support with calendar sync. This helps reduce the back-and-forth that usually slows down hiring coordination.

Bias and assurance features

The platform highlights auditing and assurance capabilities to give teams more visibility into fairness, compliance, and system behavior. For organizations that take hiring accountability seriously, this can be an important benefit.

How to use Mega HR

Getting started with Mega HR is fairly straightforward. A team typically begins by creating an account or requesting a demo, then connecting Mega HR to its hiring workflow.

First, set up your jobs and candidate pipeline. If you already use an ATS, Mega HR can sync jobs, candidates, stages, interviews, and notes in real time. Supported integrations shown publicly include Greenhouse, Ashby, Lever, and Breezy HR.

Next, choose which AI products you want to use. Some teams may only want AI scoring and shortlisting, while others may also enable AI interviews or interview insights.

After setup, candidates can be automatically scored based on role-specific criteria. Recruiters can then review the shortlist, see why certain applicants rank highly, and decide who should move forward.

If AI interviewing is enabled, candidates can complete voice or video interviews. Mega HR then creates transcripts, summaries, and structured insights that hiring teams can use in their review process.

Finally, teams can use Megan to stay on top of candidate progress, scheduling, updates, and collaboration. This makes the platform feel less like a one-off tool and more like an active hiring assistant.

Common use cases

Mega HR works well for companies that need to screen a large volume of applicants quickly. It can also help startups and growing businesses that want to build a more repeatable hiring process without expanding recruiter headcount too quickly.

Another strong use case is structured interviewing. If your team wants more consistent interview feedback and clearer summaries, Mega HR can make post-interview reviews much easier.

It may also be useful for organizations trying to reduce slowdowns in early-stage hiring, especially when scheduling, resume review, and first-round interviews are creating bottlenecks.

Pricing

Mega HR uses a tiered and usage-based pricing model. Public pricing shows platform tiers such as Starter, Growth, and Scale, with add-on products priced by usage volume.

At the time of writing, the pricing page shows products such as AI Shortlisting and Scoring, AI Interviews, and AI Interview Insights as separate usage-based options. The site also indicates that users can start free in the app, while custom and demo-based options are available for teams that need more guidance or larger-scale setups.

That makes Mega HR best described as freemium. There is public pricing, and there appears to be a free starting option, but the final cost depends on the platform tier and the AI products you enable.

Supported platforms and integrations

Mega HR is web-based, with access through its website and app. It also supports collaboration and workflow connections through common recruiting and communication tools.

Publicly listed integrations include Greenhouse, Ashby, Lever, and Breezy HR. The platform also mentions Slack collaboration as well as Google, Microsoft, and Zoom calendar and scheduling connections.

What makes Mega HR stand out?

The main thing that makes Mega HR interesting is its all-in-one approach to AI hiring support. Many recruiting tools focus on just one part of the process, but Mega HR tries to connect screening, interviewing, scheduling, insights, and workflow collaboration in one system.

It also puts a strong emphasis on explainability and consistency. That matters because hiring teams often need more than a score. They need context, reasoning, and a clear record of how candidates were evaluated.

For teams that want to move faster without turning hiring into a black box, Mega HR offers a more practical middle ground between full manual recruiting and overly simplistic automation.

Final thoughts

Mega HR is a solid option for recruiters and hiring teams that want AI help across the full hiring workflow. It is especially useful for organizations that need better shortlisting, more scalable interviews, and clearer interview analysis.

If your team already uses an ATS and wants to add AI without rebuilding the entire hiring process, Mega HR is worth a close look. Its mix of automation, structured evaluation, and workflow integration makes it a promising tool for modern talent teams.