Finance AI Index
Index Planning and analysis FP&A platforms › Vena vs Pigment
FP&A platforms · September 2026 Edition

Vena vs Pigment

Two of twelve models named Vena first on the direct prompt; five named Pigment. Both were named by all twelve models and Vena carries 45 labels and Pigment 38, so the shares are not directly comparable.

Vena

accepted challenger

Named in ten categories this edition.

Pigment

accepted challenger

Named in six categories this edition.

First-choice share15%15%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate16%16%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#2A position in a field of 16; printed, not drawn.
Labels4538A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Vena reading right to left. Rank and label count are printed, not drawn.Datarails was named alongside these two in seven of the twelve direct answers. Vena vs Clockwork · Pigment vs Clockwork

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 FP&A platforms page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
VenaFirst choices, of twelve modelsPigment
Direct251 against Pigment
Paraphrase51
Comparative10
Budget-constrained001 against Vena · 2 against Pigment
Scale-constrained01
Negative006 against Vena · 3 against Pigment
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

The direct prompt

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

Vena first, Pigment an alternative

2 of 12 modelsPigment was named in the answer but not as the choice, or not at all.
GPT-5.4 miniPlanful, Vena alternatives: Cube, Datarails
Grok 4.1 FastCube, Vena alternatives: Datarails, Pigment

Pigment first, Vena an alternative

5 of 12 modelsVena was named in the answer but not as the choice, or not at all.
Llama 4 MaverickPigment alternatives: Aleph, Centage, Workday Adaptive Planning
Qwen 3.7 FlashPigment alternatives: Aleph, Centage, Datarails, Workday Adaptive Planning
Kimi K2Pigment alternatives: Aleph, Centage, Workday Adaptive Planning
GLM 4.7 FlashXPigment alternatives: Aleph, Centage, Cube, Datarails, Planful, Prophix, Vena, Workday Adaptive Planning
MiniMax M2.5Pigment alternatives: Aleph, Centage, Datarails, Workday Adaptive Planning

Neither was the first choice, one was named

3 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Planful alternatives: Pigment, Prophix, Vena
Perplexity SonarPlanful alternatives: Aleph, Centage, Pigment, Prophix, Vena
DeepSeek V4 FlashDatarails alternatives: Planful, Prophix, Vena

Neither was named

2 of 12 modelsThe answer made no first choice from these two in this category.
Gemini 3.5 FlashDrivetrain alternatives: Bob Finance, Cube, Planful
Mistral SmallCentage alternatives: Abacum, Aleph, Datarails, Workday Adaptive Planning

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
Vena leads by two points.
Vena2%#7 of 13
Pigment0%#10 of 13
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
Vena15%#1 of 16
Pigment15%#2 of 16
The full mid-market standing →
Enterprise
The order flips: Pigment leads at enterprise.
Pigment15%#3 of 12
Vena0%#12 of 12
The full enterprise standing →

What the models said about Vena

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

“"would rather eat a bullet than use it again." ... Anaplan and Vena are the two with the most consistent negative sentiment” DeepSeek V4 Flash · negative prompt · hard negative
“If data sovereignty and verified security audits are non-negotiable for you, this is a major red flag.” Qwen 3.7 Flash · negative prompt · hard negative
“Avoid: Vena (ongoing performance, learning curve, support, and security concerns)” GLM 4.7 FlashX · negative prompt · hard negative
“Go with Vena if your finance team wants to continue modeling in Excel but needs to eliminate spreadsheet errors and automate data ingestion from your ERP.” Gemini 3.5 Flash · paraphrase prompt · first choice
“Choose Vena or Datarails if you have a small to mid-sized finance team that wants to retain the comfort of using Excel” Qwen 3.7 Flash · comparative prompt · first choice

What the models said about Pigment

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

“Avoid or be cautious about enterprise platforms (Anaplan, Workday Adaptive, Planful, Pigment)” Mistral Small · negative prompt · hard negative
“What to avoid when budget is tight ... overkill for a budget-conscious company” DeepSeek V4 Flash · budget prompt · hard negative
“Pigment and other enterprise platforms have pricing that "scales significantly with user count and data volume."” MiniMax M2.5 · negative prompt · soft negative
“Pigment | Tech-forward mid-market, driver‑based modeling, rapid scenario analysis | Deep driver‑based modeling ... enterprise‑grade power on short implementation timelines” GLM 4.7 FlashX · direct prompt · first choice
“Go with Pigment if you are forward-looking, have a modern finance team, and want a highly collaborative, visual, and agile scenario-planning tool.” Gemini 3.5 Flash · paraphrase prompt · first choice
Also compared

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