AI Indexes
Finance AI Index
Index › Equity and corporate › ESG and carbon reporting › Coolset vs Novisto
ESG and carbon reporting · October 2026 Edition

Coolset vs Novisto

One of fourteen models named Coolset first on the direct prompt; one named Novisto. Coolset was named by six of the fourteen models and Novisto by eleven and Coolset carries 11 labels and Novisto 14, so the shares are not directly comparable.

Coolset

accepted challenger

Named in one category this edition.

Novisto

accepted challenger

Named in one category this edition.

First-choice share7%3%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate9%7%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#6A position in a field of 13; printed, not drawn.
Labels1114A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Coolset reading right to left. Rank and label count are printed, not drawn.Sweep was named alongside these two in nine of the fourteen direct answers. Greenly vs Coolset · Greenly vs Novisto · Sweep vs Coolset

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the ESG and carbon reporting page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
CoolsetFirst choices, of fourteen modelsNovisto
Direct11
Paraphrase10
Comparative00
Budget-constrained00
Scale-constrained21
Negative001 against Coolset · 1 against Novisto
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Coolset and Novisto stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.1 Fast
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
GPT-6 Luna
Muse Glimmer 30B
Coolset Novisto first choice named as an alternative argued againstblank: not namedEach cell is one answer, Coolset on the left and Novisto on the right.

The direct prompt

The plain question, one answer per model, grouped by where Coolset and Novisto stood in it.

Coolset first, Novisto not the choice

1 of 14 modelsNovisto was named in the answer but not as the choice, or not at all.
Gemini 3.5 FlashCoolset, Greenly alternatives: Gravity, KEY ESG, Novata, Sweep

Novisto first, Coolset an alternative

1 of 14 modelsCoolset was named in the answer but not as the choice, or not at all.
Muse Glimmer 30BNovisto, Sweep alternatives: Coolset, Novata

Neither was the first choice, one was named

6 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5EcoOnline ESG alternatives: Coolset, Novata, Sweep
Perplexity SonarGreenly alternatives: EcoOnline ESG, Novata, Novisto, Sweep
DeepSeek V4 FlashSweep alternatives: Coolset, Greenly, Novisto
Kimi K2Novata, Position Green alternatives: Greenly, Novisto, Workiva
GLM 4.7 FlashXWorkiva alternatives: Greenly, Measurabl, Novisto, Persefoni, Position Green
GPT-6 LunaGreenly alternatives: Novisto, Workiva

Neither was named

6 of 14 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniWorkiva alternatives: Credibl ESG, IBM Envizi, Microsoft Cloud for Sustainability
Grok 4.1 FastGreenly, Sweep alternatives: Horizon ESG, cubemos
Mistral SmallSweep alternatives: EcoOnline ESG, Novata
Llama 4 MaverickSweep alternatives: EcoOnline ESG, Novata
Qwen 3.7 FlashWatershed alternatives: Carbon Cloud, Enablon, Persefoni, PlanA, Sphera
MiniMax M2.5Plan A, Sweep alternatives: EcoOnline ESG, Novata

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Coolset leads by two points.
Coolset2%#– of 12
Novisto0%#– of 12
The full small business standing →
Mid-marketThe figures above
Coolset leads by three points.
Coolset7%#3 of 13
Novisto3%#6 of 13
The full mid-market standing →
Enterprise
The order flips: Novisto leads at enterprise.
Novisto2%#6 of 11
Coolset0%#– of 11
The full enterprise standing →

What the models said about Coolset

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.

“Generic/high emission factors until customized.” Grok 4.1 Fast · negative prompt · soft negative
“I'd pick Coolset for most mid-sized B2B companies because the available guidance specifically points to it as well-suited to the mid-market use case.” Perplexity Sonar · paraphrase prompt · first choice
“Mid-market platforms like Coolset, EcoOnline ESG, Sweep, or Guideflow often fit best... Coolset for multi-framework AI” Grok 4.1 Fast · scale prompt · first choice
“Coolset (strong CSRD, EU Taxonomy, EcoVadis coverage)” DeepSeek V4 Flash · scale prompt · first choice

What the models said about Novisto

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.

“Data import issues, "finicky" Power BI, complex setup/navigation.” Grok 4.1 Fast · negative prompt · soft negative
“I'd suggest focusing on vendors like Greenly, Novisto, Tracera, or Watershed - they're scaled for your stage” MiniMax M2.5 · scale prompt · first choice
“Novisto — Best for mid-market and large companies doing ESG reporting” Muse Glimmer 30B · direct prompt · first choice
“Choose IBM Envizi or Novisto if: ... need a centralized "system of record" to manage data quality and governance” Qwen 3.7 Flash · comparative prompt · alternative
Also compared

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.