Manatal

Manatal is an AI-powered applicant tracking system and recruitment CRM designed to help companies streamline their entire hiring process, from sourcing candidates to making offers. Founded in Bangkok in 2019, the platform has grown rapidly by combining sophisticated AI capabilities with an unusually affordable price point, attracting clients ranging from startups to global brands like Unilever, Coca-Cola, Panasonic, and Toyota.

At its core, Manatal solves a fundamental problem in recruitment: the sheer volume of manual work involved in finding, screening, and managing candidates. Traditional hiring workflows require recruiters to post jobs across multiple boards, manually review hundreds of resumes, schedule screening calls, and coordinate feedback from hiring teams. Manatal automates the most time-consuming parts of this workflow using AI that scores candidates against job descriptions, enriches profiles with data from LinkedIn and other public sources, and even conducts asynchronous first-round interviews.

The platform distinguishes itself from legacy ATS solutions by prioritizing ease of use and AI-first design. Where older systems like Greenhouse or Lever were built primarily as database and workflow tools, Manatal was built from the ground up with machine learning at the center. The AI engine does not just filter by keywords; it understands the relationships between skills, experience, and job requirements to surface candidates that a keyword-based search might miss.

Manatal has also positioned itself as an innovator in the ATS space by becoming the first applicant tracking system to implement Model Context Protocol (MCP), allowing recruiters to connect their ATS data with large language models like ChatGPT. This means recruiters can ask natural-language questions about their candidate pipeline and get intelligent, contextual answers without navigating complex filters or reports.

For organizations that have been priced out of premium ATS platforms or frustrated by the complexity of enterprise systems, Manatal offers a compelling alternative that does not sacrifice capability for simplicity.

Manatal serves a broad audience of hiring professionals, but its pricing and feature set make it especially attractive to specific segments.

HR managers at small and midsize businesses who need a professional ATS without the five-figure annual contracts that enterprise platforms demand will find Manatal's pricing refreshing. At $15 per user per month, it delivers AI-powered screening and candidate management that rivals tools costing three to five times as much.

Recruitment agencies managing multiple clients and open positions benefit from Manatal's multi-pipeline management, candidate enrichment, and collaboration features. The ability to track candidates across different clients and roles from a single dashboard saves agencies significant administrative overhead.

Operations managers tasked with improving hiring efficiency will appreciate Manatal's workflow automations and reporting capabilities. The platform provides visibility into time-to-hire, source effectiveness, and pipeline bottlenecks that help ops leaders optimize the recruitment process.

Small business owners who handle hiring themselves, without a dedicated HR team, can use Manatal's AI to compensate for the lack of a full recruiting staff. The AI candidate recommendations and automated screening act as a force multiplier for one-person hiring operations.

Startup founders and growing teams scaling from a handful of employees to dozens or hundreds need a system that grows with them. Manatal's tiered pricing means you can start on the Professional plan and upgrade as your hiring volume increases without migrating to a new platform.

Not ideal for: Very large enterprises with complex multi-country compliance requirements, organizations that need deep payroll or HRIS integration built directly into their ATS, or companies looking for a tool that handles the full employee lifecycle beyond recruitment.

AI Candidate Recommendations and Scoring

Manatal's AI recommendation engine is the platform's flagship feature and the primary reason many teams choose it over simpler ATS alternatives. When you create a job listing, the AI analyzes the job description and compares it against every candidate in your database, scoring each one based on skills, experience, education, and contextual relevance.

The scoring goes beyond simple keyword matching. Manatal's AI understands that a candidate with "project management" experience is relevant to a role requiring "program management," for example, and it weighs factors like years of experience and industry alignment. The result is a ranked list of candidates that surfaces strong matches you might miss with manual filtering. As your database grows, the AI becomes increasingly valuable because it can instantly search across thousands of profiles.

Resume Parsing and Profile Enrichment

Manatal's resume parser extracts structured data from resumes in any common format, including PDF, Word, and even images. It populates candidate profiles with contact information, work history, education, skills, and certifications automatically, eliminating the tedious data entry that slows down most recruitment workflows.

What sets Manatal apart is the enrichment layer. After parsing a resume, the platform pulls additional information from LinkedIn, GitHub, and other public sources to build a more complete picture of each candidate. You might discover that a candidate has relevant open-source contributions, professional certifications, or industry connections that were not mentioned on their resume. This enrichment happens automatically and gives recruiters a significant informational advantage during outreach and evaluation.

AI Interviewer

The AI Interviewer feature automates first-round candidate screening by conducting asynchronous video interviews. Recruiters set up interview questions, and candidates receive a link to record their responses on their own schedule. The AI then asks context-sensitive follow-up questions based on their answers.

This feature addresses one of the biggest bottlenecks in recruitment: the sheer time required to schedule and conduct initial screening calls. For a position that attracts 100 applicants, conducting even 15-minute phone screens with the top 30 candidates would consume 7.5 hours of a recruiter's time. The AI Interviewer handles this automatically, providing recruiters with video responses and AI-generated summaries they can review at their convenience.

Customizable Pipelines and Workflow Automation

Manatal's visual Kanban boards let you build recruitment pipelines that mirror your actual hiring process. Each stage is customizable, from "Applied" through "Phone Screen," "Interview," "Offer," and any custom stages your process requires. Dragging a candidate from one stage to the next triggers automated actions like sending status update emails, notifying hiring managers, or assigning evaluation tasks.

The workflow automation engine on the Enterprise plan and above lets you create more complex rules. For example, you can automatically reject candidates who do not meet minimum qualifications, send assessment links when candidates reach the interview stage, or alert the hiring manager when a candidate has been in a stage for too long. These automations reduce manual follow-up and ensure no candidate falls through the cracks.

Job Board Distribution and Career Page

Manatal connects to over 2,500 job boards worldwide, including LinkedIn Jobs, Indeed, ZipRecruiter, Glassdoor, and hundreds of regional and niche boards. You create a job posting once in Manatal and distribute it to all connected boards with a single click. Application responses flow back into your Manatal pipeline automatically, so you never have to check multiple platforms for new applicants.

The branded career page builder lets you create a professional job listing page that matches your company's visual identity. The career page is embeddable on your website and SEO-optimized, so candidates can discover your open positions through search engines. For companies that want to build their employer brand and reduce dependency on paid job boards, this feature provides a valuable owned channel for attracting talent.

Scaling Startup Hiring

Startups in growth mode often go from hiring one or two people a quarter to hiring five or ten per month. Manatal lets small teams manage this surge without adding dedicated recruiting staff. The AI screens incoming applications, the career page attracts direct applicants, and the pipeline keeps everything organized as the number of open roles multiplies.

Recruitment Agency Client Management

Agencies juggling multiple clients and dozens of open roles use Manatal to maintain separate pipelines for each client while drawing from a shared candidate database. When a candidate is not the right fit for one role, they can be easily moved to another client's pipeline. The collaboration features let agency recruiters and client hiring managers share feedback in one place.

High-Volume Screening for Popular Roles

Roles that attract hundreds of applicants, like entry-level positions or popular remote jobs, overwhelm traditional screening processes. Manatal's AI ranking lets recruiters skip straight to the most qualified candidates instead of manually reviewing every resume. The AI Interviewer further reduces the bottleneck by automating first-round conversations with shortlisted candidates.

International Hiring Across Multiple Job Boards

Companies hiring across multiple countries need to post on regional job boards specific to each market. Manatal's 2,500+ job board integrations make it practical to run hiring campaigns across different geographies from a single platform, with all applications flowing into one unified pipeline regardless of source.

Building an Employer Brand Through a Career Page

Companies that want to attract talent organically invest in their career page. Manatal's career page builder lets even small companies present a professional, branded hiring experience. Candidates can browse open roles, read about company culture, and apply directly, reducing the cost per application compared to paid job board listings.

Manatal offers one of the most competitive pricing structures in the ATS market, with all plans billed annually on a per-user basis.

The Free Trial gives you 14 days of full access to the platform with no credit card required. This is enough time to import your existing candidates, set up a pipeline, post a job, and experience the AI features firsthand. It is one of the more generous ATS trials on the market.

The Professional plan at $15 per user per month is designed for small teams. It includes up to 15 active jobs, 10,000 candidates, AI candidate recommendations, resume parsing and enrichment, job board integrations, and a branded career page. For a small business hiring for a handful of roles, this plan covers everything you need at a fraction of the cost of competitors like Greenhouse or Lever.

The Enterprise plan at $35 per user per month removes limits on active jobs and candidates, adds workflow automations, and includes advanced reporting. This is the plan where Manatal becomes a genuine hiring operations platform rather than just a candidate database. The workflow automations alone can save hours per week by handling routine tasks like status emails and stage transitions automatically.

The Enterprise Plus plan at $55 per user per month adds SSO, user groups, API access, priority support, and access to beta features. This tier is designed for larger organizations that need enterprise security features and custom integrations with their existing tech stack.

Value assessment: Manatal's pricing is exceptional for the feature set it delivers. The Professional plan at $15 per user per month undercuts most competitors by 50% or more while including AI features that some platforms charge a premium for. The Enterprise plan at $35 per user per month is competitive with the base plans of many rival ATS platforms while offering more advanced automation. For budget-conscious teams, Manatal delivers outsized value.

Manatal's integration ecosystem is built around the tools recruiters and HR teams use daily. Email integrations with Gmail and Microsoft Outlook let you send and receive candidate communications directly from within the platform, with all correspondence automatically logged to the candidate's profile. Calendar integrations with Google Calendar and Microsoft 365 simplify interview scheduling.

The platform's job board network is its most extensive integration category, connecting to over 2,500 boards including LinkedIn Jobs, Indeed, ZipRecruiter, Glassdoor, and region-specific platforms across Asia, Europe, and the Americas. This breadth of coverage is important for companies hiring in multiple markets.

For candidate assessment, Manatal integrates with Codility for technical coding tests and supports connections to other assessment platforms. The Adobe Sign integration enables electronic offer letter signing without leaving the platform. BambooHR integration provides a bridge to post-hire HRIS workflows.

Zapier integration opens the door to thousands of additional tools, allowing you to create custom automations between Manatal and virtually any other business application. And the MCP integration for large language models positions Manatal at the forefront of AI-assisted recruiting by enabling conversational access to your ATS data.

The Chrome extension is worth highlighting separately. The People-Match AI extension lets recruiters source candidates directly from LinkedIn, GitHub, and other platforms, adding profiles to their Manatal database with a single click. This turns passive browsing into active sourcing without switching between tabs and manual data entry.

Exceptional value for money - At $15 per user per month, Manatal delivers AI-powered recruitment features that competitors charge three to five times more for.

Powerful AI matching - The candidate recommendation engine genuinely surfaces strong matches and improves over time as your database grows.

Easy setup and learning curve - Most teams are up and running within a day, with an intuitive interface that does not require extensive training.

Extensive job board network - Over 2,500 job board integrations let you cast a wide net from a single dashboard.

Profile enrichment - Automatic data pulling from LinkedIn and other public sources builds richer candidate profiles without manual research.

AI Interviewer - Automated first-round screening saves hours per week and standardizes the evaluation process.

Limited advanced compliance tools - Large enterprises with complex multi-country hiring compliance needs may find Manatal's compliance features insufficient compared to specialized platforms.

Annual billing only - All paid plans require annual billing, which means a larger upfront commitment for teams that prefer monthly flexibility.

Reporting depth - While reporting covers the essentials, advanced analytics and custom report building are less sophisticated than what enterprise ATS platforms offer.

Career page customization - The career page builder is functional but offers less design flexibility than dedicated employer branding platforms.

Enrichment data variability - Profile enrichment quality depends on the availability of public data, which varies significantly by candidate and region.

No built-in HRIS features - Manatal handles recruitment only, so you will need a separate system for onboarding, payroll, and employee management.

Manatal vs Greenhouse

Greenhouse is one of the most established ATS platforms on the market, trusted by thousands of mid-to-large companies for structured hiring. It offers a deeper compliance framework, more granular permissions, and a larger ecosystem of integrations. However, Greenhouse is significantly more expensive, often costing $6,000 to $30,000+ per year depending on the plan, and its AI features are less native than Manatal's. Manatal's AI candidate matching, profile enrichment, and AI Interviewer are built directly into the platform at no extra cost, whereas Greenhouse relies more on third-party integrations for similar capabilities. For SMBs and growing companies, Manatal delivers 80% of Greenhouse's value at 20% of the price. For large enterprises with complex compliance requirements, Greenhouse remains the safer choice.

Manatal vs HubSpot CRM

Some companies, particularly those already using HubSpot for sales and marketing, attempt to repurpose HubSpot CRM for recruitment pipeline management. While HubSpot's pipeline view and contact management work at a surface level for hiring, it lacks every recruitment-specific feature that makes an ATS effective: resume parsing, job board distribution, AI candidate scoring, and interview scheduling. Manatal is purpose-built for recruitment and executes these workflows natively. If your team only hires occasionally and already lives in HubSpot, the CRM can serve as a stopgap. For any company that hires regularly, a dedicated ATS like Manatal is the clear choice.

Manatal vs ClickUp

ClickUp is a powerful project management platform that some HR teams use for tracking hiring pipelines via custom views and boards. While ClickUp excels at general task management and is highly customizable, it does not offer resume parsing, candidate enrichment, job board integrations, AI scoring, or any of the specialized features that define a recruitment platform. Manatal replaces manual tracking with purpose-built automation for every stage of hiring. Choose ClickUp if you want a single tool for all project types and only hire occasionally; choose Manatal if recruitment is a regular, ongoing operation that deserves its own dedicated tool.

1. Sign up for the free trial at manatal.com — Create your account and start the 14-day trial. No credit card is required, and you get full access to all features so you can evaluate the platform thoroughly.

2. Set up your company profile and hiring pipeline — Configure your company details, branding, and recruitment pipeline stages. Manatal's default pipeline works for most teams, but you can customize stages to match your existing hiring process.

3. Import your existing candidates — Upload your candidate database via CSV or connect your email to automatically import past applicant communications. Manatal will parse and enrich imported profiles automatically.

4. Post your first job — Create a job listing and distribute it to relevant job boards from Manatal's network of 2,500+ platforms. Set up your branded career page to start attracting direct applicants.

5. Install the Chrome extension — Add the People-Match AI Chrome extension to source candidates directly from LinkedIn, GitHub, and other platforms while you browse, sending profiles to your Manatal database with one click.

6. Review AI-ranked candidates — As applications come in, check the AI-generated candidate rankings for each position. The AI scores and sorts candidates by relevance, so you can focus your attention on the strongest matches first.

7. Set up automations and scale — Once your workflow is established, configure email automations, stage transitions, and notification triggers to reduce manual follow-up. Upgrade to the Enterprise plan as your hiring volume grows to unlock unlimited jobs and workflow automations.

Manatal has earned a reputation as one of the best-value applicant tracking systems available in 2026, and that reputation is well-deserved. The combination of AI-powered candidate matching, automated profile enrichment, an AI-driven interviewer, and integration with 2,500+ job boards would be impressive at any price point. At $15 per user per month, it is remarkable.

The platform is not trying to be everything to everyone. It focuses on the recruitment workflow, from sourcing to offer, and executes that workflow with a level of AI sophistication that rivals platforms costing five to ten times as much. The AI Interviewer feature alone can save recruiters hours per week, and the candidate recommendation engine becomes increasingly valuable as your database grows.

The main limitations are in areas that fall outside core recruitment. Compliance tools are adequate but not enterprise-grade, reporting is functional but not deeply customizable, and there are no HRIS features for post-hire employee management. Large enterprises with complex, multi-jurisdictional hiring requirements may still need Greenhouse or a similar platform. But for the vast majority of small and midsize businesses, Manatal covers everything they need.

The MCP integration for large language models signals that Manatal is not resting on its current feature set. As AI continues to reshape how organizations hire, Manatal is positioning itself to be at the forefront of that transformation.

Bottom line: Manatal is a purpose-built AI recruitment platform that delivers enterprise-grade hiring capabilities at SMB-friendly pricing. It saves time through AI-powered screening, enriches candidate data automatically, and keeps the entire hiring team aligned through intuitive pipeline management. A verdict score of 8 out of 10 reflects its outstanding value proposition, strong AI features, and ease of use, with room for improvement in compliance depth and reporting sophistication.