HR AI Index

Index › Vendors › Neobrain · September 2026 Edition

1 category · Named, not ranked

Neobrain

5Judge labels

1First choices

0Negative labels

4 of 12Models named it

1Category

September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.1, every buyer segment counted.

Standing

3 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Neobrain was named 3 times in Internal talent marketpl, where Fuel50 led with 26%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business19 of 118

under the label threshold

Mid-market26 of 129

under the label threshold

Enterprise35 of 82

under the label threshold

In internal talent marketpl · 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 Neobrain 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.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant
Internal talent marketplace	Performance and talent management	0%	26 of 129	0%	3	under 10 labels · led by Fuel50 at 26%

Movement

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

By model

How each model treated Neobrain across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

Model	Alternative	Mention	Labels
Claude Haiku 4.5	0	0	0
GPT-5.4 mini	0	0	0
Gemini 3.5 Flash	1	0	1
Perplexity Sonar	0	0	0
Grok 4.1 Fast	0	0	0
Mistral Small	0	0	0
DeepSeek V4 Flash	0	1	1
Llama 4 Maverick	0	0	0
Qwen 3.7 Flash	0	0	0
Kimi K2	1	0	1
GLM 4.7 FlashX	0	0	0
MiniMax M2.5	0	0	0

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

Direct2 labels1

Paraphrase2 labelsNone

Comparative0 labelsNone

Budget-constrained0 labelsNone

Scale-constrained1 labelNone

Negative0 labelsNone

First choiceAlternativeMentionNegative5 labels in all, every segment counted; 1 of the 1 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.

“Look at mid-market specialists (e.g., Leapsome, Neobrain, Fuel50, or your native HRIS talent modules).” Gemini 3.5 Flash · Internal talent marketpl · scale prompt · alternative

“European Alternatives - Good options if you're in the EU/DACH region” Kimi K2 · Internal talent marketpl · 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.

No model argued against it.

Named alongside

The products named in the same answers as Neobrain, over the 5 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Neobrain was named but was not.

ProductSame answerTook the first choice insteadHead to head

Fuel504 of 51Not in the top three

Gloat4 of 51Not in the top three

365Talents3 of 51Not in the top three

Eightfold AI3 of 50Not in the top three

Workday2 of 50Not in the top three

Engagedly1 of 51Not in the top three

HiBob1 of 50Not in the top three

Lattice1 of 50Not in the top three

Leapsome1 of 50Not in the top three

Personio1 of 50Not in the top three

A head-to-head page exists where both products are in a category's top three. 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 Neobrain. 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 4 of the 5 answers that named Neobrain and are not a share of its labels.

Domains cited

g2.com3

engagedly.com2

fuel50.com2

gartner.com2

sprad.io2

aihratlas.com1

capterra.com1

careerbird.ai1

dataintelo.com1

docebo.com1

Sixteen of the sixteen domain citations in answers naming Neobrain came from somebody else's page.

Pages cited

engagedly.com/blog/best-talent-mobility-softwares2

fuel50.com/blog/talent-marketplace-software2

g2.com/categories/talent-marketplace-platforms/enterprise2

g2.com/products/neobrain/pricing2

gartner.com/reviews/market/internal-talent-marketplaces2

sprad.io/blog/internal-mobility-software-in-2025-top-platforms-compared-use-cases-and-rfp-2

aihratlas.com/tools/fuel501

capterra.com/talent-management-software1

Pages are listed as the models cited 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 Neobrain'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 Neobrain, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

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 neobrain.io 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.