Finance AI Index
Index Vendors › Sphera · September 2026 Edition
2 categories · Ranked

Sphera

39Judge labels
0First choices
14Negative labels
12 of 12Models named it
2Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, every buyer segment counted.
Best standing
0% in ESG and carbon reporting for enterprise buyers
Rank 23 of 76 in the mid-market standing
0 of 12 models made it the first choice on the direct prompt; 22% of its 9 labels there were negative.
By buyer segmentRead the same way at every buyer size.
In esg and carbon reporting · 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 Sphera 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
ESG and carbon reportingEquity and corporate0%23 of 7622%9under 10 labels · led by Sweep at 25%
Cap table managementEquity and corporate0%32 of 410%1under 10 labels · led by Carta at 44%

Movement

This is the first edition on this tier, so no move can be computed for Sphera 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 Sphera across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.501102
GPT-5.4 mini01001
Gemini 3.5 Flash00000
Perplexity Sonar00101
Grok 4.1 Fast01012
Mistral Small00101
DeepSeek V4 Flash00011
Llama 4 Maverick00101
Qwen 3.7 Flash00101
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500000

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
Direct10 labelsNone
Paraphrase1 labelNone
Comparative12 labelsNone
Budget-constrained5 labelsNone
Scale-constrained3 labelsNone
Negative8 labelsNone
First choiceAlternativeMentionNegative39 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.

“often a fit for companies that want comprehensive ESG + sustainability capabilities” GPT-5.4 mini · ESG and carbon reporting · direct prompt · alternative
“Sphera and Greenstone are recommended for mid-market companies (100-1,000 employees).” Claude Haiku 4.5 · ESG and carbon reporting · direct prompt · alternative
“Broad ESG incl. EHS/supply chain ... good for manufacturing” Grok 4.1 Fast · ESG and carbon reporting · 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.

“Beware the enterprise tools (Novisto, Sphera, Workiva's full suite)” DeepSeek V4 Flash · ESG and carbon reporting · budget prompt · hard negative
“anything under 4.0 stars or <10 reviews (e.g., some with 3.9 like isolated Sphera feedback) risks poor support” Grok 4.1 Fast · ESG and carbon reporting · negative prompt · soft negative

Named alongside

The products named in the same answers as Sphera, over the 39 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Sphera was named but was not.
ProductSame answerTook the first choice insteadHead to head
Workiva28 of 3916Not in the top three
IBM Envizi21 of 390Not in the top three
Watershed20 of 394Not in the top three
Persefoni19 of 393Not in the top three
Sweep15 of 391Not in the top three
Novisto15 of 390Not in the top three
Diligent ESG12 of 390Not in the top three
SAP Sustainability Control Tower12 of 390Not in the top three
Salesforce Net Zero Cloud10 of 390Not in the top three
Greenly9 of 391Not 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 Sphera. 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 33 of the 39 answers that named Sphera and are not a share of its labels.

Domains cited

gartner.com25
guideflow.com22
coolset.com19
pulsora.com18
onestopesg.com15
esg-one.co11
horizonesg.global10
knowesg.com10
emissiontwin.com9
g2.com9

148 of the 148 domain citations in answers naming Sphera came from somebody else's page.

Pages cited

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 Sphera'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 Sphera, 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 sphera.com 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.