Small business=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 48 → 69 of 78
1 category · Named, not rankedArchera
5Judge labels
0First choices
2Negative labels
5 / 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
2 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Archera was named 2 times in FinOps, where Vantage led with 45%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
Small business73 of 83
0%1 label
under the label threshold
Mid-market69 of 76
0%2 labels
under the label threshold
Enterprise20 of 73
0%2 labels
under the label threshold
In finops · 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 Archera 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 |
|---|---|---|---|---|---|---|---|
| Cloud cost management | Cloud and infrastructure | 0% | 69 of 76 | 50% | 2 | under 10 labels · led by Vantage at 45% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, Archera held within the floor in its one category: no change cleared 11 points.
Best category · FinOps · by segment
Mid-market=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 45 → 68 of 70
Enterprise=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 27 → 20 of 71
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| FinOps | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 45 → 69 of 76 |
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 11 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 Archera across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
How each model treated Archera across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 1 | 1 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 0 | 0 | 0 | 0 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 1 | 0 | 1 |
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
Direct0 labelsNone
Paraphrase0 labelsNone
Comparative0 labelsNone
Budget-constrained0 labelsNone
Scale-constrained2 labelsNone
Negative3 labelsNone
First choiceAlternativeMentionNegative5 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.
No positive label carried a quote.
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.
“billing issues tied to AWS marketplace complications for Archera” GPT-5.4 mini · FinOps · negative prompt · soft negative
Named alongside
The products named in the same answers as Archera, over the 5 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Archera was named but was not.ShowHide
Named alongside
The products named in the same answers as Archera, over the 5 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Archera was named but was not.
ShowHideProductSame answerTook the first choice insteadHead to head
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 Archera. 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 5 of the 5 answers that named Archera and are not a share of its labels.
Domains cited
cloudaware.com4
nops.io4
axis-intelligence.com2
cloudzero.com2
finops.org2
finout.io2
g2.com2
openmetal.io2
reddit.com2
alphaus.cloud1
Twenty-three of the twenty-three domain citations in answers naming Archera came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
What it publishes
ShowHide
What it publishes
ShowHideAddresses on archera.ai
367
subdomains included
Content
110
counted in the table below
Documentation
253
Product · Integration
0 · 0
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 66 | 15 | 2026-09-22 | FinOps | |
| Podcast or video | 15 | undated | |||
| Case study | 14 | 1 | 2026-09-15 | ||
| News or press | 6 | undated | FinOps | ||
| Comparison | 5 | undated | |||
| Glossary or explainer | 3 | 0 | 2026-01-22 | ||
| Template or tool | 1 | undated |
Most recent
- 2026-09-22Archera ai in slack blog
- 2026-09-21The gpu blind spot in cloud commitment planning blog
- 2026-09-15Pubnub case study case study
- 2026-09-11Why guaranteed commitments change everything in cloud finops blog
- 2026-08-28Azure vmware solution license change blog
- 2026-08-27Cloud commitment trap azure aws blog
How it is countedHide how it is counted
Every page archera.ai exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. Read September 29, 2026.
Follow Archera
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
Archera is its own company.ShowHide
The company
Archera is its own company.
ShowHideIn its own words
Stated by the vendor, not checked- Positioning
- Insured cloud commitments for AWS, Azure, and Google
- For
- leading cloud teams
- Price stated
- $0 platform fee archera.ai
- Free plan or trial
- Free platform archera.ai
- Certifications
- Archera is AWS Qualified SoftwareArchera is an Advanced AWS Partner with a Cloud Operations Software Competency certification and membership in the AWS Well-Architected Partner ProgramArchera is ISO/IEC 27001:2022 certified
- Customers named
- Platform9FloyoHex
- Not stated on the pages read
- Starting price, integrations, hosting
What Archera's own pages state, read October 6, 2026: archera.ai. 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 Archera'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 Archera, 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 Archera by email, built from the raw record of the edition. It shows:
- where Archera 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 Archera, 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.