
Manatal
Open Website-
Tool Introduction:Wolfram Alpha AI computes expert-level answers for math, science.
-
Inclusion Date:Oct 21, 2025
-
Social Media & Email:
Tool Information
What is Manatal AI
Manatal AI is an end-to-end AI recruitment software built to help HR teams, recruitment agencies, and headhunters source, evaluate, and hire faster. Combining an intuitive applicant tracking system (ATS) with a recruitment CRM, it centralizes jobs, candidates, and communications in one place. AI recommendations surface best-fit profiles, while resume parsing and candidate enrichment add missing data for stronger matches. Built-in collaboration, branded career pages, analytics, and data privacy controls streamline hiring workflows and support compliant, measurable recruiting.
Manatal AI Key Features
- AI recommendations: Automatically ranks and suggests best-fit candidates based on job requirements and profile data.
- Applicant Tracking System (ATS): Visual pipelines, stage automation, interview scheduling, and task management to keep hiring on track.
- Recruitment CRM: Nurture talent pools, track relationships, and manage agency or client pipelines in one unified workspace.
- Candidate enrichment & parsing: Extract key details from resumes and enrich profiles to improve searchability and matching.
- Multi-channel sourcing: Import candidates from job boards and social platforms; centralize applications from multiple sources.
- Branded career pages: Publish SEO-friendly job listings and a consistent employer brand experience.
- Collaboration tools: Share feedback, notes, and approvals with hiring managers to accelerate decisions.
- Reports & analytics: Track pipeline health, time-to-hire, and source effectiveness with configurable dashboards.
- Data privacy & compliance: Features to support privacy controls and compliant hiring practices.
- Integrations: Connect with common HR and communication tools to streamline recruiting operations.
Who Should Use Manatal AI
Manatal AI suits in-house HR teams, talent acquisition leaders, recruitment agencies, and headhunters who need an AI-powered ATS and recruitment CRM to manage high-volume pipelines. it's helpful for SMBs scaling headcount, agencies handling multiple clients, and enterprises seeking consistent processes, faster shortlists, and better analytics across roles and locations.
How to Use Manatal AI
- Create an account and set up your organization, roles, and hiring pipelines.
- Post jobs and build a branded career page to attract candidates.
- Import talent via resume upload, sourcing tools, and existing databases.
- Enrich candidate profiles and use advanced search to segment talent pools.
- Leverage AI recommendations to identify top matches for each role.
- Collaborate with hiring managers through notes, feedback, and stage approvals.
- Schedule interviews, manage communications, and track tasks in the ATS.
- Monitor reports & analytics to optimize sources, pipeline speed, and quality of hire.
- Review privacy settings and retention policies to support compliance.
Manatal AI Industry Use Cases
Staffing agencies consolidate client requisitions, use AI matching to produce shortlists, and share structured feedback to speed placements. Corporate HR teams hire across departments by standardizing pipelines, publishing branded job pages, and tracking time-to-hire with analytics. High-volume employers (e.g., retail, logistics, hospitality) source at scale, enrich candidate data for faster screening, and coordinate multi-location hiring with consistent compliance controls.
Manatal AI Pricing
Manatal typically offers tiered subscription plans that scale by features and seats, with options for teams and larger organizations. Details on pricing and any available free trials are published on the official website; enterprise customers can usually request a tailored quote via sales.
Manatal AI Pros and Cons
Pros:
- All-in-one platform combining ATS, recruitment CRM, and AI recommendations.
- Intuitive interface and quick setup support faster adoption.
- Candidate enrichment and robust search improve match quality.
- Clear collaboration and audit trails across hiring teams.
- Actionable analytics for pipeline health and source performance.
- Privacy and compliance features to support regulated hiring.
Cons:
- AI matching quality depends on complete, well-structured candidate data.
- Deep customization may be narrower than some enterprise-only suites.
- Integration depth can vary by tool; workflows may rely on third-party connectors.
- Per-seat pricing can increase costs for very large recruiting teams.
- New users may face a short learning curve when configuring pipelines and reports.
Manatal AI FAQs
-
Does Manatal AI help with data privacy and compliant hiring?
Yes. It includes privacy controls and features designed to help teams manage candidate data responsibly. Always confirm your organization’s requirements with legal counsel.
-
What is the difference between the ATS and the recruitment CRM in Manatal?
The ATS manages active hiring workflows and stages for open roles, while the recruitment CRM focuses on long-term relationship management, talent pooling, and nurturing candidates for future opportunities.
-
Can I import existing candidates and resumes?
Yes. You can centralize historical data by importing resumes and candidate records, then enrich and deduplicate profiles to improve search and matching.
-
How does AI candidate matching work?
AI models evaluate job requirements and candidate attributes (skills, experience, keywords) to rank likely fits, helping recruiters prioritize outreach and screening.
-
Is there a free trial?
Manatal commonly provides trial options; check the official website for current trial availability and plan details.
-
Can hiring managers collaborate without full recruiter access?
Yes. Role-based access lets hiring managers review candidates, leave feedback, and approve stages without needing full recruiter permissions.





