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Index › Products › Pymetrics · October 2026 Edition
7 categories · Ranked

Pymetrics

40Judge labels
0First choices
18Negative labels
11 / 14Models named it
7Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.7, every buyer segment counted.
Best standing
0% in Candidate assessment for mid-market buyers
Rank 52 of 118 in the mid-market standing
0 of 14 models made it the first choice on the direct prompt; 20% of its 5 labels there were negative.
By buyer segmentRead the same way at every buyer size.
In candidate assessment · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named Pymetrics for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
CategoryFunctionShareRankNegative rateLabelsQuadrantSince September 2026
Candidate assessmentTalent acquisition0%52 of 11820%5under 10 labels · led by TestGorilla at 52%=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.
AI recruiting assistantsTalent acquisition0%69 of 9025%4under 10 labels · led by Manatal at 31%=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.
Talent intelligencePerformance and talent management0%87 of 9067%3under 10 labels · led by Pin at 27%=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.
HR AI assistantsOnboarding and employee experience0%138 of 142100%2under 10 labels · led by MeBeBot at 21%=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.
People analyticsWorkforce planning and analytics0%109 of 114100%2under 10 labels · led by Crunchr at 22%newNew since September 2026: not ranked then, 0% now.
HR compliance and policy managementCore HR and payroll0%88 of 97100%1under 10 labels · led by Rippling at 19%newNew since September 2026: not ranked then, 0% now.
Technical hiring assessmentsTalent acquisition0%68 of 71100%1under 10 labels · led by HackerRank at 17%goneNot named this edition; 0% in September 2026.

Movement

Since September 2026, Pymetrics held within the floor in all seven categories: no change cleared 13 points.

Best category · Candidate assessment · by segment

Small business=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 13 pointsRank 30 → 40 of 80
Mid-market=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 13 pointsRank 81 → 24 of 115
Enterprise=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 13 pointsRank 21 → 51 of 67

All categories · Mid-market

CategorySeptember 2026NowChangeReadingRank
Candidate assessment0%0%=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Within noiseRank 81 → 52 of 118
AI recruiting assistants0%0%=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Within noiseRank 80 → 69 of 90
Talent intelligence0%0%=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Within noiseRank 73 → 87 of 90
HR AI assistants0%0%=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Within noiseRank 102 → 138 of 142
People analytics0%0%newNew since September 2026: not ranked then, 0% now.New this editionRank 109 of 114, unchanged
HR compliance0%0%newNew since September 2026: not ranked then, 0% now.New this editionRank 88 of 97, unchanged
Technical hiring assessm0%0%=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Within noiseRank 43 → 68 of 71

Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.

The floor is 13 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions

By model

How each model treated Pymetrics across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
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ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.501203
GPT-5.4 mini00000
Gemini 3.5 Flash00011
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small00202
DeepSeek V4 Flash00011
Llama 4 Maverick00000
Qwen 3.7 Flash01012
Kimi K200011
GLM 4.7 FlashX00011
MiniMax M2.501124
GPT-6 Luna00000
Muse Glimmer 30B00033

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct7 labelsNone
Paraphrase5 labelsNone
Comparative2 labelsNone
Budget-constrained2 labelsNone
Scale-constrained7 labelsNone
Negative17 labelsNone
First choiceAlternativeMentionNegative40 labels in all, every segment counted; 0 of the 0 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“Uses games and AI to assess cognitive abilities and work style, good for various roles” Claude Haiku 4.5 · Candidate assessment · paraphrase prompt · alternative
“Uses neuroscience-based games and AI to assess candidates beyond just resumes.” MiniMax M2.5 · AI recruiting assistants · paraphrase prompt · alternative
“Best For: Reducing unconscious bias in the early screening stages.” Qwen 3.7 Flash · Talent intelligence · comparative prompt · alternative

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

“Game-based or neuroscience assessments marketed as predicting job performance without published I/O validation and transparent adverse-impact statistics.” Muse Glimmer 30B · Technical hiring assessm · negative prompt · hard negative
“Privacy / data reuse concerns... "This study suggests that candidate results data is saved and ‘used' for 330 days."” Muse Glimmer 30B · Candidate assessment · negative prompt · hard negative
“Research found the platform's design "replicated bias instead of erasing it" despite claims of neutrality.” Kimi K2 · HR AI assistants · negative prompt · hard negative
“Research has documented significant issues... the system was found to replicate rather than eliminate bias” MiniMax M2.5 · Talent intelligence · negative prompt · hard negative

Named alongside

The products named in the same answers as Pymetrics, over the 40 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Pymetrics was named but was not.
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ProductSame answerTook the first choice insteadHead to head
HireVue24 of 401Not among the top eight
Eightfold AI15 of 402Not among the top eight
Criteria Corp13 of 400Not among the top eight
HackerRank9 of 402Not among the top eight
SHL8 of 401Not among the top eight
Workable8 of 401Not among the top eight
Codility8 of 400Not among the top eight
Harver6 of 401Not among the top eight
Greenhouse6 of 400Not among the top eight
Visier6 of 400Not among the top eight
A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named Pymetrics. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 27 of the 40 answers that named Pymetrics and are not a share of its labels.

Search and answers

pymetrics.com is not in Google's top ten for any of the category's searches. In the answers, Pymetrics takes 0% of first choices and TestGorilla takes 52%.
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In search

Google, US estimates
Position for “assessment platforms”
–
not in the top ten
Position for “pre-employment assessment platform”
–
not in the top ten
Searches for its name, Google
1,600 a month (“pymetrics”)
AI search demand for its name, est.
356 a month
Organic visits to its site
about 1,117 a month
Searches its site ranks for
79 · 12 in the top three
Sites linking to it
1,725
Paid Google search
No ads found in the estimate; that does not mean it runs none
Ads on Google
None found in Google's ad transparency records for the US

In answers

This edition
Share of first choices
0%
rank 52 of 118 in candidate assessment
Segment leader
52%
TestGorilla
First choices
0 across its categories
Named in
40 answers
Its own site cited
in 27 of the answers that named it

Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.

Names read as Pymetrics

What the judge wrote, as written, with how often. The vendor table decides that these count as Pymetrics; a claim can dispute any of them.
PyMetrics 1Pymetrics (Harver) 1Pymetrics / Harver 1pymetrics 1

Follow Pymetrics

An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.

Already following? Everything you follow, with a stop for each.

The company

Pymetrics is its own company.
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In its own words

Stated by the vendor, not checked
Positioning
Unleash your full potential using data
Not stated on the pages read
Who it is for, price, starting price, free plan or trial, integrations, certifications, hosting, customers

What Pymetrics's own pages state, read October 5, 2026: pymetrics.com. A claimed page can correct any of them.

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Pymetrics's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Pymetrics, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

What a new claim receivesHide what a new claim receives

A new claim receives the current edition's vendor brief for Pymetrics by email, built from the raw record of the edition. It shows:

  • where Pymetrics is named, by buyer and by framing, and which cells hold its first choices;
  • the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
  • its vocabulary against the segment leader's, and the pages the models cited;
  • who was chosen in the answers that did not name Pymetrics, and every reason the record gives;
  • a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
  • one page of published figures cleared to show a buyer.
The subscriber app

A verification link goes to your work email; an address at pymetrics.com is approved on the spot, any other is reviewed by hand. Your email is never published. Claiming gives no say over labels, shares, verdicts or which quotes appear.