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Recruitment · head to head

Findem vs Manatal

Findem logo

Findem

Recruitment

Talent intelligence and sourcing platform built on a large pre-aggregated candidate data set, demo-only pricing

From
On request
Rated
-
Full reviewWebsite
Manatal logo

Manatal

Recruitment

Low-cost applicant tracking and recruitment CRM with candidate enrichment, sold to both in-house teams and agencies

From
On request
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Findem no pricing is published anywhere, not even an entry tier, so a buyer cannot size cost without going through a full sales and demo process first; Manatal pricing is per recruiter seat, so putting every hiring manager into the system to review candidates multiplies the licence count and erases the price advantage.
  • They diverge on capability: Findem covers Pre-aggregated candidate data, Manatal covers Candidate enrichment.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Findem and Manatal actually diverge.

Attributes where Findem and Manatal differ
AttributeFindemManatal
Pricing modelquotePer user per month

Identical on both: starting price (On request), free tier (No), platforms (Web), user rating (Not yet rated), category (Recruitment).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Findem

  • Pre-aggregated candidate data
  • 3D data / inferred attributes
  • Agentic workflow automation
  • Talent marketing and executive search tools
  • Embedded AI

Only in Manatal

  • Candidate enrichment
  • AI candidate scoring
  • Recruitment CRM
  • Multi-board posting
  • CV parsing
  • Careers page builder
  • Custom pipelines
  • Reporting

What people use each for

The jobs each tool is most often brought in to do.

Findem

  • A workforce planning team wanting sourcing combined with broader talent analytics rather than sourcing alonenot Manatal
  • A talent acquisition organisation willing to commit to a full sales cycle in exchange for a data-first sourcing approachnot Manatal
  • A company wanting agentic automation across job posting, outreach and scheduling rather than sourcing software alonenot Manatal
  • A platform vendor wanting to embed Findem's underlying data infrastructure into its own product via the embedded offeringnot Manatal

Manatal

  • A small recruitment agency that needs client, candidate and placement tracking without an enterprise contractnot Findem
  • An in-house team in Asia Pacific that wants candidate enrichment without paying enterprise ATS pricesnot Findem
  • A company processing high applicant volume that needs automated ranking to triage a shortlistnot Findem
  • A recruiter running both contingent search and internal hiring from one databasenot Findem

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Findem

  • No pricing is published anywhere, not even an entry tier, so a buyer cannot size cost without going through a full sales and demo process first
  • Claims about data freshness and the value of pre-aggregated versus live-queried candidate data are not independently verifiable from public material
  • The broader product surface, talent marketing, executive search and embedded AI, means a buyer evaluating sourcing alone may end up paying for a platform built around adjacent modules they do not need
  • As with any aggregated-data sourcing tool, coverage and accuracy vary by role type and geography, and cannot be confirmed for a specific niche role before purchase
  • The agentic automation features are newer than the core sourcing product and have less of an independent track record to evaluate against competitors
  • Lack of a self-serve or trial tier means switching away from an existing sourcing tool involves real sales-cycle time before a team can even confirm Findem fits their workflow

Manatal

  • Pricing is per recruiter seat, so putting every hiring manager into the system to review candidates multiplies the licence count and erases the price advantage.
  • Candidate enrichment depends on public profile data, so accuracy drops sharply in markets where professional networking sites have low penetration and the scores become misleading rather than useful.
  • Integrations with major HRIS and payroll systems are limited compared with Western competitors, so new hire handover is frequently a CSV export rather than a sync.
  • Support operates on Indochina business hours, which leaves European afternoons and all of North American working hours outside the responsive window.
  • Reporting covers recruiter activity and source data but lacks the cohort and quality-of-hire analysis a mature talent function expects, and custom analysis means exporting to a spreadsheet.

Pricing, plan by plan

Findem

On request
  • Findem$undefined/year
    • Sourcing and talent intelligence
    • Agentic workflow automation
    • Demo required, no published pricing

Manatal

On request
  • Professional$undefined/month
    • Per recruiter seat
    • Unlimited jobs and candidates
    • Candidate enrichment and AI scoring
  • Enterprise$undefined/month
    • Per recruiter seat at a higher rate
    • Custom fields and advanced permissions
    • Recruitment CRM for agency use
  • Custom$undefined/year
    • Negotiated terms for larger teams
    • Single sign-on and security review
    • Dedicated account management

Which should you pick?

Choose Findem if

  • You need pre-aggregated candidate data.
  • You also want 3d data / inferred attributes.
Findem review

Choose Manatal if

  • You need candidate enrichment.
  • You also want ai candidate scoring.
Manatal review

Questions people ask

Is Findem or Manatal better?
Neither clearly leads. Findem starts at On request and Manatal at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Findem or Manatal?
Findem starts at On request and Manatal at On request.
Does Findem or Manatal run on more platforms?
Both run on Web, so platform support will not decide this one for you.
What is Findem best used for?
Findem is most often used for a workforce planning team wanting sourcing combined with broader talent analytics rather than sourcing alone, a talent acquisition organisation willing to commit to a full sales cycle in exchange for a data-first sourcing approach, a company wanting agentic automation across job posting, outreach and scheduling rather than sourcing software alone, a platform vendor wanting to embed findem's underlying data infrastructure into its own product via the embedded offering. Of those, a workforce planning team wanting sourcing combined with broader talent analytics rather than sourcing alone and a talent acquisition organisation willing to commit to a full sales cycle in exchange for a data-first sourcing approach are not what Manatal is typically brought in for.
What can Findem do that Manatal cannot?
Findem covers Pre-aggregated candidate data, 3D data / inferred attributes, Agentic workflow automation, Talent marketing and executive search tools. Manatal covers Candidate enrichment, AI candidate scoring, Recruitment CRM, Multi-board posting.

Answered from the vendors’ own pages

Findem: Is there a free trial or self-serve tier?

No, Findem requires a demo request; no self-serve or trial access is published.

Manatal: Is it for agencies or in-house teams?

Both. The agency mode adds client and placement management; the corporate mode is a conventional ATS. Buying the wrong mode means paying for modules you never open.

Findem: Is any pricing published?

No, all pricing is quote-only after a sales conversation.

Manatal: How is it priced compared with other ATS products?

Per recruiter seat per month. That is not comparable with vendors that charge per active job slot or per employee, so model your real user count before comparing headline numbers.

Findem: What makes Findem different from a tool like SeekOut?

Findem emphasises a pre-aggregated, continuously enriched data set with inferred career-trajectory attributes, versus tools that query external platforms more directly at search time.

Manatal: Where is candidate data hosted?

On cloud infrastructure with GDPR commitments, but region-specific residency guarantees are weaker than EU-native vendors offer, which matters for regulated European buyers.

Manatal: Does the AI scoring actually work?

It ranks reliably against structured requirements such as skills and experience length. It is far less reliable where enrichment data is sparse.

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