Manage recruiting with organized candidate records and AI assistance

What is Manatal?

Manatal is recruitment software for internal hiring teams, agencies, and headhunters. It combines an applicant tracking system with recruitment CRM functions and tools for enriching candidate profiles. AI features include recommendations based on job requirements, screening assistance, and an interviewer offering. The platform's practical role is to keep candidate information and recruiting activity organized so the people responsible for hiring can compare evidence, coordinate next steps, and maintain a consistent review process.

Bring candidate information into a shared workflow

The platform supports candidate profiles, collaboration, activities, and connections to calendars and mailboxes. Its recommendation engine uses job requirements to help identify potential matches, while enrichment adds information from public and social sources. Agencies can also track client and commercial activity through the recruitment CRM, connecting the search with the placement process.

Keep assessment criteria explicit

Write the role requirements in terms of actual responsibilities and necessary capabilities before reviewing suggested candidates. Check the provenance and freshness of enriched details, and give reviewers a way to correct mistakes. Use AI summaries to navigate the record, then verify important claims in the original materials. Record the reasons for decisions so a score does not become an unexplained substitute for judgment.

Features to explore

• Applicant tracking
• Recruitment CRM
• Candidate profile enrichment
• AI recommendations and screening tools

Who is Manatal for?

Best for HR teams and recruitment agencies coordinating several searches and candidate pipelines. It is especially relevant when shared records, consistent activity tracking, and evidence-based review are more difficult to manage in spreadsheets or separate inboxes.

Before you get started

Verify candidate data and review AI recommendations for relevance and bias. Configure access carefully, and keep employment decisions with accountable reviewers using appropriate criteria rather than relying solely on automated rankings.