Index › Products › Airia · October 2026 Edition

1 category · Named, not ranked

Airia

6Judge labels

1First choices

0Negative labels

4 / 14Models named it

1Category

October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.

Standing

1 label, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Airia was named 1 time in AI governance, where Credo AI led with 18%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business34 of 144

under the label threshold

Mid-market21 of 135

under the label threshold

Enterprise48 of 131

under the label threshold

In ai governance · 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 Airia 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	Since September 2026
AI governance platforms	Data platform	2%	21 of 135	0%	1	under 10 labels · led by Credo AI at 18%

Movement

This is the first edition on this tier, so no move can be computed for Airia 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 Airia across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.

ShowHide

Model	First choice	Labels
Claude Haiku 4.5	0	0
GPT-5.4 mini	0	0
Gemini 3.5 Flash	0	0
Perplexity Sonar	0	0
Grok 4.1 Fast	0	0
Mistral Small	1	1
DeepSeek V4 Flash	0	0
Llama 4 Maverick	0	0
Qwen 3.7 Flash	0	0
Kimi K2	0	0
GLM 4.7 FlashX	0	0
MiniMax M2.5	0	0
GPT-6 Luna	0	0
Muse Glimmer 30B	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

Direct1 labelNone

Paraphrase2 labels1

Comparative1 labelNone

Budget-constrained0 labelsNone

Scale-constrained1 labelNone

Negative1 labelNone

First choiceAlternativeMentionNegative6 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.

“starting with a platform like Airia or a compliance-focused tool with strong integration capabilities would be a practical choice” Mistral Small · AI governance · paraphrase prompt · first choice

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 Airia, over the 6 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Airia was named but was not.

ShowHide

ProductSame answerTook the first choice insteadHead to head

Speakeasy3 of 60Not among the top eight

TrueFoundry3 of 60Not among the top eight

Lumenova AI2 of 61Not among the top eight

ServiceNow AI Control Tower2 of 61Not among the top eight

Credo AI2 of 60Not among the top eight

Fiddler AI2 of 60Not among the top eight

Holistic AI2 of 60Not among the top eight

IBM2 of 60Not among the top eight

OneTrust AI Governance2 of 60Not among the top eight

Amazon Bedrock Guardrails1 of 60Not 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 Airia. 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 6 of the 6 answers that named Airia and are not a share of its labels.

Domains cited

g2.com3

peoplemanagingpeople.com3

secureprivacy.ai3

techtarget.com3

atlan.com2

knostic.ai2

venn.com2

agenticsis.ch1

agility-at-scale.com1

aicompliancevendors.com1

No domain is on file for Airia, so its own site is not marked.

Pages cited

g2.com/categories/ai-governance-tools3

peoplemanagingpeople.com/tools/best-ai-governance-tools3

secureprivacy.ai/blog/best-ai-governance-platforms-20263

techtarget.com/ai/tip/The-best-AI-governance-tools-and-platforms-in-20263

knostic.ai/blog/ai-governance-platforms2

venn.com/learn/ai-governance/ai-governance-tools2

agenticsis.ch/blog/what-is-ai-governance-practical-guide-businesses1

agility-at-scale.com/ai/governance/ai-governance-tools-and-technology1

Pages are listed as the models cited them.

Follow Airia

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 Airia'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 Airia, 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 Airia by email, built from the raw record of the edition. It shows:

where Airia 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 Airia, 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.