Manatal

Name: Manatal
Brand: Manatal
Rating: 4.5 (342 reviews)

The next generation of AI-powered recruitment software.

Est 2017|Valuation $24.7M|Raised $5.6M

LinkedIn 52K|Website|Web traffic 304K|FTEs 148|HQ Lumphini Subdistrict, Bangkok City, TH

MarketsApplicant Tracking Systems (ATS)

Published Sep 26, 2026

01Common complaints

1. Immediate applicant communication is required after purchase and verification delays are unacceptable. - Reviews indicate variability in verification timelines and functionality gating; organizations needing guaranteed immediate access should validate verification and export capabilities before procurement. 2. Advanced search, reporting, or complex automation is essential to competitive operations. - Public feedback indicates limitations in filtering, reporting, and complex automation compared with enterprise-grade ATS/CRM solutions. 3. Native candidate engagement capabilities are a core requirement. - The platform lacks some native candidate engagement features (for example, self-scheduling and text-based engagement) that other vendors provide. 4. A large ecosystem of prebuilt integrations is required out of the box. - Buyers requiring numerous prebuilt connectors and a mature marketplace may find more predictable integration options with alternative vendors. 5. Procurement requires certifications or artifacts beyond SOC 2 Type II by default. - Buyers that mandate vendor-level ISO 27001 certification, strict data residency controls, or public pen test reports should validate those artifacts directly with the vendor.

Deal disqualifiers (poor fit)

- Organizations requiring a sophisticated candidate experience (self-scheduling, texting automation, advanced career site features) out of the box. - Organizations that require extensive, prebuilt integrations with collaboration tools, HRIS suites, assessment platforms, or background-check providers without custom development. - Teams that require advanced sourcing/search (extensive Boolean capability, highly customizable filtering, and complex reporting) and cannot accept limitations in those areas.

Known limitations (from reviews and editorial coverage)

Search and filtering limitations have been reported in multiple user reviews.
Reporting gaps, for example in recruiter performance analytics, are cited by users.
Interface and navigation complexity is a recurring theme in reviews.
Account verification processes and support responsiveness are common sources of dissatisfaction in some review platforms.

Vendor-acknowledged constraints

Trial accounts have feature limitations and certain capabilities remain gated until a paid subscription and verification are completed.

Roadmap / beta access

Enterprise Plus tier advertises access to beta features; specific roadmap items and timelines were not consolidated in the materials reviewed.

02Why they buy

Unique selling points supported by customer evidence (summarized)

Per-user price and perceived value is frequently cited in community discussions as a primary reason for selection.
The combined ATS + CRM feature set is noted by some reviewers as a reason to select the platform.

Unique selling points with mixed user sentiment

AI-assisted features (matching, summaries, the branded "AI Interviewer") are noted by some reviewers as useful for triage and summarization; other reviewers and community discussions indicate variable quality depending on role complexity. Buyers should validate AI features using their own jobs and candidate data.

Areas where competitors have advantages

Candidate experience and engagement features (scheduling, messaging) and a broader prebuilt integration ecosystem are areas where some competitors tend to have stronger out-of-the-box capabilities.
Enterprise analytics and customizable reporting are often stronger in higher-end ATS vendors.

03Field reports

Review platforms — positive examples (summarized)

- G2: Some users report that the platform is flexible for collecting and managing applications and that AI-generated application summaries are useful; review scores vary. - TrustRadius: Some reviewers have noted a broad feature set and recommended investing time in learning the tool; reviewers highlighted available business-day support and documentation. - Capterra: Several reviewers reported that the software runs smoothly with relatively few bugs and that pipeline management is straightforward.

Review platforms — negative / criticisms (summarized)

- G2: Reviews frequently cite limitations in reporting, integration breadth, and search/filtering capabilities; some users reported dissatisfaction with AI matching for complex roles. - Trustpilot: A number of low-rated reviews point to poor support experiences, account verification issues that impede use of features after payment, and difficulties exporting data or with specific job board posting workflows. - Capterra: Negative comments include reports of support giving long or unsatisfactory responses and other ATS products being more intuitive for some users.

Community discussions (Reddit) — summary

Some community members note that Manatal is an affordable option for new agencies and smaller teams.
Other posts express skepticism about the vendor's AI capabilities and the authenticity of some third-party review platform entries; these are community opinions and should be interpreted cautiously.

Common decision drivers cited by reviewers

Lower cost relative to some competitors.
Breadth of features combining ATS and CRM functionality.
Centralized candidate database and pipeline management.
AI-assisted summaries and parsing that can reduce manual review time for some use cases.

Common reasons cited for churn or not purchasing

Support quality and responsiveness concerns.
Account verification processes that can delay access to key features.
Limitations in search/filtering for advanced sourcing needs.
Integration gaps with broader HR ecosystems and collaboration tools.
Interface/navigation issues that can make certain features harder to locate.

Vendor-published success signals

Vendor-published testimonials and case references include examples from larger employers and agencies that report improved recruitment metrics and perceived improvements in support responsiveness. These vendor-curated testimonials are directional but typically lack independent validation, detailed methodology, or quantified baselines.

Third-party editorial review (summary)

Editorial reviews highlight strengths such as published per-user pricing and certain AI-assisted features, and note limitations including: - absence of native self-scheduling tools, - no dedicated mobile application in some descriptions, - limited candidate experience features (for example, text- or chat-based engagement), - and certain features described as harder to find in the interface. Analyst and editorial reviews can provide useful perspectives, but they are often based on limited testing and may not reflect specific organizational workflows (for example, agency vs internal hiring or high-volume vs niche executive search).

04Best fit

Company size

Likely primary fit: small to mid-sized organizations for in-house recruitment, and small agencies with compact recruiting teams, particularly where cost sensitivity is significant.

Industries / verticals

The platform is general-purpose and appears applicable across industries, with particular traction in staffing and recruiting services due to the combined ATS/CRM model.

Roles and personas

Decision makers: Head of Talent Acquisition, HR Manager/Director, Agency Owner/Managing Partner.
Daily users: recruiters, sourcers, recruiting coordinators, and hiring managers.

Best-fit pain points

Organizations seeking to replace spreadsheets with a centralized pipeline and database.
Teams that require a combined ATS and CRM capability, for example agencies tracking both candidates and client interactions.
Buyers interested in basic AI-assisted summaries and parsing who accept that AI outputs will require validation.

05The pitch

What the product does (core value proposition)

Manatal is a cloud-based Applicant Tracking System (ATS) and recruitment CRM serving both: - In-house HR / Talent Acquisition teams managing requisitions and applicants, and - Recruitment agencies / headhunters managing candidates plus sales/client activity. Its primary offering is an integrated recruiting workflow (candidate sourcing → applicant tracking → collaboration → reporting) with a set of machine learning / AI-assisted features such as candidate scoring/recommendations, resume parsing, candidate profile enrichment from public sources, and an AI-driven screening/interview feature marketed as an "AI Interviewer." The vendor also describes integrations that enable conversational queries of data via external large language models.

Target market and market positioning

Based on pricing, feature packaging, and community commentary, Manatal is positioned for: - SMB to mid-market recruiting teams seeking lower-cost ATS/CRM functionality compared with many enterprise ATS suites, - Teams looking to move from spreadsheet-based hiring workflows to a centralized ATS and candidate database. It competes in the value-oriented ATS segment against tools such as Zoho Recruit, Recruitee, Workable (lower tiers), Recruit CRM, and similar vendors.

Get a comprehensive analysis of Manatal including market position, competitive landscape, adoption trends, and peer benchmarks.

Download full report →

Published Sep 26, 2026

01Common complaints

Immediate applicant communication is required after purchase and verification delays are unacceptable.
- Reviews indicate variability in verification timelines and functionality gating; organizations needing guaranteed immediate access should validate verification and export capabilities before procurement.
Advanced search, reporting, or complex automation is essential to competitive operations.
- Public feedback indicates limitations in filtering, reporting, and complex automation compared with enterprise-grade ATS/CRM solutions.
Native candidate engagement capabilities are a core requirement.
- The platform lacks some native candidate engagement features (for example, self-scheduling and text-based engagement) that other vendors provide.
A large ecosystem of prebuilt integrations is required out of the box.
- Buyers requiring numerous prebuilt connectors and a mature marketplace may find more predictable integration options with alternative vendors.
Procurement requires certifications or artifacts beyond SOC 2 Type II by default.
- Buyers that mandate vendor-level ISO 27001 certification, strict data residency controls, or public pen test reports should validate those artifacts directly with the vendor.

Deal disqualifiers (poor fit)

Organizations requiring a sophisticated candidate experience (self-scheduling, texting automation, advanced career site features) out of the box.
Organizations that require extensive, prebuilt integrations with collaboration tools, HRIS suites, assessment platforms, or background-check providers without custom development.
Teams that require advanced sourcing/search (extensive Boolean capability, highly customizable filtering, and complex reporting) and cannot accept limitations in those areas.

Known limitations (from reviews and editorial coverage)

Search and filtering limitations have been reported in multiple user reviews.
Reporting gaps, for example in recruiter performance analytics, are cited by users.
Interface and navigation complexity is a recurring theme in reviews.
Account verification processes and support responsiveness are common sources of dissatisfaction in some review platforms.

Vendor-acknowledged constraints

Trial accounts have feature limitations and certain capabilities remain gated until a paid subscription and verification are completed.

Roadmap / beta access

Enterprise Plus tier advertises access to beta features; specific roadmap items and timelines were not consolidated in the materials reviewed.

02Why they buy

Unique selling points supported by customer evidence (summarized)

Per-user price and perceived value is frequently cited in community discussions as a primary reason for selection.
The combined ATS + CRM feature set is noted by some reviewers as a reason to select the platform.

Unique selling points with mixed user sentiment

AI-assisted features (matching, summaries, the branded "AI Interviewer") are noted by some reviewers as useful for triage and summarization; other reviewers and community discussions indicate variable quality depending on role complexity. Buyers should validate AI features using their own jobs and candidate data.

Areas where competitors have advantages

Candidate experience and engagement features (scheduling, messaging) and a broader prebuilt integration ecosystem are areas where some competitors tend to have stronger out-of-the-box capabilities.
Enterprise analytics and customizable reporting are often stronger in higher-end ATS vendors.

03Field reports

Review platforms — positive examples (summarized)

G2: Some users report that the platform is flexible for collecting and managing applications and that AI-generated application summaries are useful; review scores vary.
TrustRadius: Some reviewers have noted a broad feature set and recommended investing time in learning the tool; reviewers highlighted available business-day support and documentation.
Capterra: Several reviewers reported that the software runs smoothly with relatively few bugs and that pipeline management is straightforward.

Review platforms — negative / criticisms (summarized)

G2: Reviews frequently cite limitations in reporting, integration breadth, and search/filtering capabilities; some users reported dissatisfaction with AI matching for complex roles.
Trustpilot: A number of low-rated reviews point to poor support experiences, account verification issues that impede use of features after payment, and difficulties exporting data or with specific job board posting workflows.
Capterra: Negative comments include reports of support giving long or unsatisfactory responses and other ATS products being more intuitive for some users.

Community discussions (Reddit) — summary

Some community members note that Manatal is an affordable option for new agencies and smaller teams.
Other posts express skepticism about the vendor's AI capabilities and the authenticity of some third-party review platform entries; these are community opinions and should be interpreted cautiously.

Common decision drivers cited by reviewers

Lower cost relative to some competitors.
Breadth of features combining ATS and CRM functionality.
Centralized candidate database and pipeline management.
AI-assisted summaries and parsing that can reduce manual review time for some use cases.

Common reasons cited for churn or not purchasing

Support quality and responsiveness concerns.
Account verification processes that can delay access to key features.
Limitations in search/filtering for advanced sourcing needs.
Integration gaps with broader HR ecosystems and collaboration tools.
Interface/navigation issues that can make certain features harder to locate.

Vendor-published success signals

Third-party editorial review (summary)

Editorial reviews highlight strengths such as published per-user pricing and certain AI-assisted features, and note limitations including:

absence of native self-scheduling tools,
no dedicated mobile application in some descriptions,
limited candidate experience features (for example, text- or chat-based engagement),
and certain features described as harder to find in the interface.

Analyst and editorial reviews can provide useful perspectives, but they are often based on limited testing and may not reflect specific organizational workflows (for example, agency vs internal hiring or high-volume vs niche executive search).

04Best fit

Company size

Likely primary fit: small to mid-sized organizations for in-house recruitment, and small agencies with compact recruiting teams, particularly where cost sensitivity is significant.

Industries / verticals

The platform is general-purpose and appears applicable across industries, with particular traction in staffing and recruiting services due to the combined ATS/CRM model.

Roles and personas

Decision makers: Head of Talent Acquisition, HR Manager/Director, Agency Owner/Managing Partner.
Daily users: recruiters, sourcers, recruiting coordinators, and hiring managers.

Best-fit pain points

Organizations seeking to replace spreadsheets with a centralized pipeline and database.
Teams that require a combined ATS and CRM capability, for example agencies tracking both candidates and client interactions.
Buyers interested in basic AI-assisted summaries and parsing who accept that AI outputs will require validation.

05The pitch

What the product does (core value proposition)

Manatal is a cloud-based Applicant Tracking System (ATS) and recruitment CRM serving both:

In-house HR / Talent Acquisition teams managing requisitions and applicants, and
Recruitment agencies / headhunters managing candidates plus sales/client activity.

Its primary offering is an integrated recruiting workflow (candidate sourcing → applicant tracking → collaboration → reporting) with a set of machine learning / AI-assisted features such as candidate scoring/recommendations, resume parsing, candidate profile enrichment from public sources, and an AI-driven screening/interview feature marketed as an "AI Interviewer." The vendor also describes integrations that enable conversational queries of data via external large language models.

Target market and market positioning

Based on pricing, feature packaging, and community commentary, Manatal is positioned for:

SMB to mid-market recruiting teams seeking lower-cost ATS/CRM functionality compared with many enterprise ATS suites,
Teams looking to move from spreadsheet-based hiring workflows to a centralized ATS and candidate database.

It competes in the value-oriented ATS segment against tools such as Zoho Recruit, Recruitee, Workable (lower tiers), Recruit CRM, and similar vendors.

Get a comprehensive analysis of Manatal including market position, competitive landscape, adoption trends, and peer benchmarks.

Download full report →