Sortinghat vs Manatal: The 2026 Comparison for Growing Recruitment Teams

Manatal's AI scores inbound applications, which is useful if your problem is too many CVs to read. Most staffing firms have the opposite problem: not enough qualified people entering the funnel at all. Scoring a thin pipeline does not make it thicker. Sortinghat sources from your own database in plain language, runs outbound campaigns across call, WhatsApp and email, and screens the responses with AI voice and video calls.

Last reviewed June 2026. Manatal information taken from its published pricing and product documentation.

Ranking what arrives versus generating what does not

Manatal's approach. An intuitive ATS with AI candidate scoring, aimed at teams organising inbound applications. It ranks CVs. That is the extent of it.

Sortinghat's approach. Pipeline generation first. Plain-language search across your own database surfaces people who already know your firm. Outbound campaigns run across call, WhatsApp and email. AI voice and video screening qualifies the responses. Evaluation criteria generate from the job description with editable weights.

If your inbound is thin, a better ranking of it changes nothing.

Sortinghat vs Manatal at a glance

Row one is the whole comparison. Both platforms say AI. One means ranking the CVs you already received. The other means producing candidates who never applied.

Where the two platforms actually differ

Finding people in your own database

Manatal. Search is filter and keyword driven, so results depend on how precisely the query was built. An imprecise query quietly misses qualified people.

Sortinghat. Describe the person in a sentence, including conditions that are judgements rather than keywords. Our audit of one firm's 3 million records found 80% were real, current people behind stale records, and making them findable took job portal spend from roughly $100 a role to $60.

Bottom line: A database nobody can search is storage you are paying to keep.

Qualifying the people you find

Manatal. Screening is a recruiter activity. A full manual calling day is around 40 calls and produces three or four people worth submitting.

Sortinghat. AI voice and video screening runs against the role's weighted criteria, confirming interest, availability, compensation and the CV claims that decide the submission. Around 300 contacted in parallel produces roughly 10 submission-ready profiles in hours, and on a high-volume QA requirement we submitted 120 in a single day.

Bottom line: This is the difference that shows up in placements rather than in a feature list.

Running an India desk

Manatal. Channel coverage is built around Western markets, and WhatsApp is not natively threaded to the candidate record.

Sortinghat. Naukri and WhatsApp are native. Threads attach automatically, so the conversation history belongs to the firm rather than to a recruiter's phone when they leave.

Bottom line: For any firm with an India delivery team this changes the daily experience more than any single AI feature.

Adoption, which is where most rollouts fail

Manatal. Implementation is self-serve or guided, and whether the team adopts it is left to the team.

Sortinghat. Implementation, migration, training and any gap-filling customisation are included in the licence. If your desk depends on something the platform does not have, we build it inside the migration window rather than logging it on a roadmap.

Bottom line: The most common failure in this category is not a bad platform. It is a good one nobody switched to.

Reporting and desk economics

Manatal. Reporting covers pipeline and activity. Connecting recruiter activity to desk margin generally means exporting and rebuilding it outside the platform.

Sortinghat. Desk margin, recruiter capacity and pipeline forecasting sit in the same workspace as the data they measure, so a founder sees which desks are profitable without a spreadsheet in between.

Bottom line: Reporting activity is not the same as knowing what it earned.

What each platform actually costs to run

Manatal is reported at around $15 per user per month at entry, among the lowest in the category. Verify current tiers directly and check which capabilities sit behind higher tiers before comparing headline numbers.

The licence is rarely the largest line. Six costs decide what a platform actually costs over three years:

The last two lines are usually larger than the first four combined. A platform that removes an hour a day from every recruiter is not comparable to one that costs slightly less per seat.

What Sortinghat does that Manatal does not

AI is in the platform, not on the invoice

Voice screening, video interviews, the AI interview assistant, evaluation against weighted criteria, natural language search and the notetaker are all part of the platform. There is no AI tier, no separate contract and no account manager conversation before you can use them.

Search is a sentence, not a Boolean string

Describe the person you want and get a ranked result. Compound conditions that never appear as keywords, institution tier, company stage, domain depth, resolve without anyone building a query. Sourcers are productive in a session rather than a quarter.

Screening runs at enterprise volume

A pool search on a volume role surfaces around 1,200 relevant profiles, narrows to a ranked 300, and contacts them by call, WhatsApp and email in parallel. That produces roughly 10 submission-ready profiles in hours. On a high-volume QA requirement we submitted 120 profiles in a single day.

Full front and back office

Timesheets, invoicing and pay-and-bill alongside the ATS and CRM, with client-specific formats built to your requirement rather than configured around.

400+ pre-built integrations

Job portals, messaging, calendar, assessment, interview and finance systems, plus an open read-write API for everything else.

Migration in two weeks, and gaps get built

Notes, call history, attachments and submission history carry across. If your desk depends on something the platform does not have yet, we build it inside the migration window rather than logging it on a roadmap. Implementation, migration, training and that customisation are included.

Built for firms running at scale

Our customers include firms of 400+ employees. The platform is designed for enterprise staffing volume rather than scaled down from it.

Switching from Manatal: what it takes

Manatal migrations are quick, since instances tend to be younger and volumes manageable.

• Volumes are usually modest, which makes extraction and validation fast.
• Scoring history does not transfer. Scores are model-specific and get regenerated against your own criteria, which is generally an improvement.
• Pipelines get rebuilt rather than transferred.
• Notes, calls, attachments and submission history all carry across, validated before sign-off.

Our migrations run in two weeks. Week one is export, field mapping and validation while your team keeps billing. Week two is your own environment, your team's specifics and full validation before anyone signs off. Go-live is a final export and cutover with no downtime. Implementation, migration, training and any customisation your desk needs are included rather than quoted as professional services.

Where Manatal is still a good choice

Not every firm should switch, and these are the cases where Manatal remains the better answer.

• You renewed a multi-year agreement last quarter. Switching economics work better at renewal. Note the date and revisit then.
• You went live in the last twelve months. If the team has just absorbed one implementation, another this year is a hard internal sell.

Frequently asked questions

Bottom line

Manatal is inexpensive because it does one thing: it ranks the applications you already received. If your only problem is too many CVs to read, it solves that. If your bottleneck is that not enough qualified people enter the funnel at all, no amount of scoring fixes it. Sortinghat generates the pipeline, screens it with AI voice and video calls, evaluates against criteria built from the job description, and runs the back office, with 400+ pre-built integrations and a two-week migration included.