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HR AI Index
Index › Products › One Model · September 2026 Edition
3 categories · Ranked

One Model

77Judge labels
2First choices
29Negative labels
11 of 12Models named it
3Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.3, every buyer segment counted.
Best standing
5% in People analytics for enterprise buyers
Rank 28 of 99 in the mid-market standingcriticized challenger
0 of 12 models made it the first choice on the direct prompt; 33% of its 21 labels there were negative.
What the models named instead of One Model →
By buyer segmentRead the same way at every buyer size.
In people analytics · 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 One Model 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 rateLabelsQuadrant
People analyticsWorkforce planning and analytics0%28 of 9933%21criticized challenger
Workforce planningWorkforce planning and analytics0%35 of 870%3under 10 labels · led by ChartHop at 31%
Talent intelligencePerformance and talent management0%56 of 770%1under 10 labels · led by Pin at 17%

Movement

This is the first edition on this tier, so no move can be computed for One Model yet. From the next edition this section shows, per buyer segment and per category, whether its share moved by more than the measured noise floor.

By model

How each model treated One Model across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ShowHide
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500101
GPT-5.4 mini00000
Gemini 3.5 Flash01023
Perplexity Sonar01113
Grok 4.1 Fast01102
Mistral Small00112
DeepSeek V4 Flash01102
Llama 4 Maverick01001
Qwen 3.7 Flash01023
Kimi K201001
GLM 4.7 FlashX02215
MiniMax M2.501102

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
Direct11 labels1
Paraphrase5 labelsNone
Comparative24 labels4not counted in share
Budget-constrained9 labels1
Scale-constrained6 labelsNone
Negative22 labels3not counted in share
First choiceAlternativeMentionNegative77 labels in all, every segment counted; 2 of the 9 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.

“Deep data modeling layer, open custom logic... most flexible for custom data architecture, but less "out-of-the-box."” Kimi K2 · People analytics · comparative prompt · alternative
“Enterprise with complex, multi‑system data: Visier, One Model, SAP SuccessFactors” GLM 4.7 FlashX · People analytics · comparative prompt · alternative
“One Model focuses on unifying and tracing HR data transformations across systems.” Qwen 3.7 Flash · People analytics · comparative prompt · alternative
“Aligns HR and finance at the position level with scenario variance reporting.” GLM 4.7 FlashX · Workforce planning · paraphrase 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.

“Platforms to Avoid in the Mid-Market ... Visier or One Model ... generally poor fits for the mid-market” Gemini 3.5 Flash · People analytics · direct prompt · hard negative
“Steer clear of heavy hitters like Visier, OneModel, or Workday VantagePoint.” Qwen 3.7 Flash · People analytics · budget prompt · hard negative
“Be cautious with enterprise-grade tools (Visier, SAP, Oracle, One Model) unless you have the resources and need for them.” Mistral Small · People analytics · negative prompt · soft negative
“Who should avoid/skip them: Small to mid-sized HR teams (under 1,000 employees) that do not have dedicated data analysts” Qwen 3.7 Flash · People analytics · negative prompt · soft negative

Named alongside

The products named in the same answers as One Model, over the 77 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and One Model was named but was not.
ShowHide
ProductSame answerTook the first choice insteadHead to head
Visier74 of 7726Not among the top eight
ChartHop42 of 773Not among the top eight
Crunchr41 of 771Not among the top eight
Workday People Analytics39 of 770Not among the top eight
BambooHR33 of 7711Not among the top eight
Culture Amp25 of 772Not among the top eight
Lattice18 of 774Not among the top eight
Rippling17 of 772Not among the top eight
SAP SuccessFactors16 of 770Not among the top eight
Leapsome15 of 770Not 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 One Model. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 65 of the 77 answers that named One Model and are not a share of its labels.

Domains cited

hrbench.com40
eletive.com34
thrivesparrow.com34
peoplemanagingpeople.com28
workhuman.com27
firsthr.app25
agile-hr-analytics.com20
hr.university20
cio.economictimes.indiatimes.com18
learn.g2.com18

264 of the 264 domain citations in answers naming One Model came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Names read as One Model

What the judge wrote, as written, with how often. The vendor table decides that these count as One Model; a claim can dispute any of them.
OneModel 3

Follow One Model

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.

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 One Model'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 One Model, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

With a new claim: the vendor brief

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

  • where One Model 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 One Model, 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.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at onemodel.co is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.

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