Manatal

Manatal is an AI-powered applicant tracking system and recruitment platform built for HR departments, staffing agencies, headhunters, and talent-acquisition teams.

It combines a cloud-based ATS with a recruitment CRM and layers AI on top to streamline hiring, offering candidate scoring and matching, multilingual CV parsing, profile and candidate enrichment from public data, AI-generated job descriptions, an AI interviewer, and an AI notetaker.

Recruiters manage their pipelines visually, post to job boards, and let the AI recommend the best-fit candidates for each role, while newer features include MCP server access so recruitment data can be connected to assistants like ChatGPT, Claude, and Gemini.

Manatal also provides an open API and integrations with payroll and HRIS systems such as SAP, Oracle, and ADP so it can sit inside an existing HR tech stack. The platform is aimed at organizations that want an affordable, AI-assisted way to manage end-to-end recruitment without enterprise-grade complexity.

Pricing is tiered, starting at a low per-user monthly rate on annual billing, scaling up to enterprise and custom plans. Pros include affordability, strong AI matching and enrichment, ease of use, and broad integration options.

Cons are that some advanced AI and enterprise features sit in higher-priced tiers and that smaller teams may not need every capability it offers. Pricing changes often, so check the official site for current plans.

Manatal's core capabilities include Cloud-based ATS with recruitment CRM, AI candidate scoring and matching, Multilingual CV parsing and candidate enrichment, AI-generated job descriptions, interviewer, and notetaker and Open API plus payroll and HRIS integrations.

Cloud-based ATS with recruitment CRM is built in, AI candidate scoring and matching is built in, Multilingual CV parsing and candidate enrichment is built in, AI-generated job descriptions, interviewer, and notetaker is built in, so you get a rounded toolkit rather than a single trick.

Each feature is designed to take the manual effort out of the task and help you reach a usable result faster, which is what makes Manatal worth a place on your shortlist.

On the plus side, users consistently highlight Affordable per-user pricing, Strong AI matching and data enrichment and Broad integrations and an open API as the reasons they keep using Manatal.

It isn't perfect, though — Advanced AI features sit in higher tiers and May offer more than very small teams need are the trade-offs people most often mention, so weigh those against your own priorities before you commit.

As with any AI tool, the output still benefits from a quick human review, but Manatal gets you most of the way there with far less effort. Manatal runs on a subscription pricing model, aimed at users who want the full feature set without free-tier limits.

AI-tool pricing changes often, so always check the current plans, seats and add-ons on the official site for the latest details before you buy. Who is Manatal for? It's best suited for ai recruitment software and applicant tracking system.

Whether you're a beginner trying this kind of AI tool for the first time or a professional who'll use it every day, it's a credible option to consider.

If you're still deciding, compare Manatal against the alternatives and the head-to-head comparisons linked below — looking at features, pricing and real user ratings side by side is the fastest way to find the right fit for your workflow and budget.