Sortinghat

Sortinghat vs Crelate: The 2026 Comparison for Search and Recruiting Firms

Crelate rewards recruiters who can build a Boolean string. Sortinghat removes the requirement and then screens the results.

By , Founder8 min read

Crelate's search is built for someone who knows how to construct a query. That is a real skill and it is getting harder to hire for. Sortinghat takes a different position: describe the person in a sentence, get a ranked result with the reasoning visible, and let the platform make the screening calls afterwards. A sourcer is productive in a session rather than a quarter, and the desk is not dependent on one person's Boolean fluency.

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

Key takeaways

  • Boolean expertise stops being a hiring requirement. Plain-language search resolves conditions that never appear as keywords, including institution tier and company stage.
  • Screening runs without a recruiter dialling. Native AI voice and video calls, 70% completion, against the role's weighted criteria.
  • Full front and back office plus 400+ integrations. Pay-and-bill, timesheets and invoicing alongside the ATS and CRM.
  • Migration takes two weeks and nothing is left behind. Notes, call history, attachments and submission history all carry across, and anything your desk needs that is missing gets built during the migration rather than added to a roadmap.

Rewarding expertise versus removing the need for it

Crelate's approach. Advanced Boolean and proximity search with strong analytics, built for high-touch placement. An experienced sourcer gets precise control over every query.

Sortinghat's approach. The query is a sentence. Compound conditions that are judgements rather than keywords resolve without anyone constructing a string, and every result shows the reasoning behind its rank. Screening then runs as AI voice and video calls against criteria generated from the job description.

Precision control is valuable when you have someone who can exercise it. The problem is that Boolean fluency is now a scarce and shrinking skill, and a desk that depends on one person's ability to write queries is a desk with a single point of failure.

Sortinghat vs Crelate at a glance

CategoryCrelateSortinghat
Search modelBoolean and proximity, manual controlPlain language, ranked, explainable
Sourcer skill requiredBoolean fluencyOne training session
AI voice screeningNot nativeNative, 70% completion, 3 to 7 minutes
AI video interviewsNot nativeNative
EvaluationScoring and analyticsWeighted criteria generated from the job description
Volume handlingSuited to low volume, high touch1,200 profiles surfaced, 300 contacted in parallel, 10 submission-ready in hours
Back officeFront office focusedFull front and back office, pay-and-bill, timesheets, invoicing
IntegrationsEstablished set400+ pre-built, plus open read-write API
ImplementationGuidedTwo weeks, included, gaps built during migration
PricingMid-market tiers, quote basedOne platform price, AI included

Row two is the one to think about when you next hire a sourcer. Every year, fewer candidates for that job can write a five-level Boolean string, and every year it matters less that they can.

Advanced people search returning ranked candidates for a plain-English query, with career timelines and fit badges
Fig 1Describe the person in a sentence. No Boolean string, no filter builder, no training required.

Where the two platforms actually differ

Finding people in your own database

Crelate. 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

Crelate. 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.

Reporting and desk economics

Crelate. 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.

Adoption, which is where most rollouts fail

Crelate. 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.

What each platform actually costs to run

Crelate prices in the mid-market range by tier and seat, typically quote based. Ask what is included at your tier and whether analytics and any AI capability sit inside it.

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

Cost lineOn the quote?How it behaves
LicenceYesSeats times tier price, plus renewal escalation
ImplementationSometimesOne-off, often via a partner. Included with Sortinghat.
MigrationRarelyVendor fee plus your team's hours. Included with Sortinghat.
Modules to reach a working setupNoWhere quotes diverge most between vendors
Recruiter hoursNoThe largest line by far, and the one nobody models
Job portal spendNoDoes it reduce it? One firm went from $100 a role to $60

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 Crelate 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.

Staffing pipeline with candidates across stage columns, each showing a match score of 96, 93 or 92
Fig 2Scores carry through the pipeline, so triage means reading a ranked list rather than a raw one.

Switching from Crelate: what it takes

Crelate migrations are straightforward on the record side, with one asset that does not survive any platform move.

  • Saved Boolean searches do not transfer. Years of refined strings are an asset that no migration carries. Export and archive them, though on a plain-language platform you will not rebuild them.
  • Relationship history. Search records carry long conversation histories. This is the data that matters most and we validate it first.
  • Custom pipelines. We map deliberately rather than accepting a default, and usually simplify stages that were added and never removed.
  • 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 Crelate is still a good choice

Not every firm should switch, and these are the cases where Crelate 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

Is Boolean search still necessary in 2026?

On platforms that only support it, yes. As a hiring criterion for a sourcer it no longer makes sense, because describing a profile precisely is now the scarce skill and it takes a session to teach rather than a quarter.

How much does Crelate cost?

Crelate prices in the mid-market range by tier and seat count, typically quote based. Ask whether analytics and any AI capability are included at your tier.

What is the best Crelate alternative?

For firms who want search that does not require Boolean expertise, plus AI voice and video screening and generated evaluation criteria, that is the case this page makes for Sortinghat.

Does Sortinghat work for executive search?

Yes, and it also handles volume. Plain-language search, AI screening and weighted evaluation work on a retained search desk as well as a contingency one, with full back office underneath.

Can you migrate saved searches from Crelate?

Saved Boolean strings do not transfer between any platforms. On a plain-language search platform you will not need to rebuild them, since the query is a description rather than a construction.

Is Sortinghat built for larger firms?

Yes. Our customers include firms of 400+ employees, with 400+ pre-built integrations and full front and back office.

Bottom line

Crelate is built around a skill that is becoming harder to hire. Sortinghat removes the dependency: search is a sentence, results are ranked and explainable, and screening happens without a recruiter dialling. Add full front and back office, 400+ pre-built integrations and a two-week migration that leaves nothing behind, and the case for keeping a desk dependent on Boolean fluency gets thin.

See it running on your own data

Bring a live role and a sample of your database. We will run the search, build the scorecard and show you the shortlist against your own criteria.

Book a demo

Founder of Sortinghat, an AI-native ATS and CRM for staffing, search and RPO firms. Writes about recruiter capacity, sourcing economics and what actually changes when AI reaches a delivery desk. More about the author