Pigment AI

AI tool profile ·

An AI-native financial planning platform whose Modeler Agent builds a financial model from a plain-language description instead of a spreadsheet build.

76TriVista score
Category rank#5 in Finance, Accounting, and FP&A AI
Baseline ELO1,506.3
At a glance
What it does

Pigment is a business planning and FP&A platform that finance teams use for budgeting, forecasting, and financial reporting. Its Modeler Agent lets a planner describe a modeling need in plain language and generates a structured financial model from that description. Its Analyst Agent scans financial metrics continuously, flags anomalies, and drafts variance analysis. Planners can ask what-if questions directly against a live model, such as the effect of a cost increase, and get a simulated answer without manually rebuilding a scenario. Pigment also offers AI assistants for natural-language data queries and chart generation, and companies can build custom agents using their own documents and planning logic. It is made by Pigment SAS.

Where it can help

This fits a finance team that has outgrown spreadsheet-based planning and wants a single connected model for budgeting, forecasting, and scenario analysis, and is already comfortable paying for a dedicated planning platform. There is no free tier; pricing is negotiated per contract based on user type, count, and term, and third-party estimates place Pigment above lightweight planning tools but below the highest end of legacy enterprise software, so treat any number as a planning estimate. A practical way to start is a scoped pilot covering one planning process, such as headcount or revenue forecasting, expanding to the full model after that. The main risk is that migrating an established planning process into a new connected model takes real setup time and internal training.

Understanding this score

A research signal to help you build a shortlist.

TriVista score
76.0
Category rank
#5
Baseline ELO
1,506.3

Compare within the category

This tool is ranked in Finance, Accounting, and FP&A AI. Its score is not a global ranking across every AI tool.

Use a pilot to judge your fit

The score does not guarantee performance for your team. Validate relevance, integration, permissions, and cost against your own requirements.

How the number is calculated

The score converts the baseline ELO rating onto the TriVista scale. The headline badge rounds to a whole number. Scores are not silently clipped or capped.

TriVista Score = 50 + (ELO − 1350) / 6

Before you choose
  • Customer feedback is not yet strong enough to change the starting rating.
  • The starting rating includes a product-specific comparison.
  • Check the current price before you decide.
  • We recorded rollout time, how it runs, and when it does not fit.
How company details affect the score

The model adjusts the starting rating using the company details you select. Use these estimates to prioritize your review, then test the tool against your own requirements.

Read the full methodology →
Company fit

How your company could affect the fit

How one company factor at a time moves the modeled score. The published score is unchanged.

Technology Maturity Low Modeled score75.8 / 100 Modeled category rank#3
Baseline Moderate Adjusted ELO 1,504.7 Change from baseline -1.7 ELO
Industry Energy and utilities Modeled score76.3 / 100 Modeled category rank#4
Baseline Consumer products Adjusted ELO 1,507.5 Change from baseline +1.1 ELO
Industry Healthcare and life sciences Modeled score76.3 / 100 Modeled category rank#4
Baseline Consumer products Adjusted ELO 1,507.5 Change from baseline +1.1 ELO
Industry Technology and telecommunications Modeled score76.2 / 100 Modeled category rank#4
Baseline Consumer products Adjusted ELO 1,507.3 Change from baseline +0.9 ELO
Industry Financial and professional services Modeled score76.2 / 100 Modeled category rank#4
Baseline Consumer products Adjusted ELO 1,507.1 Change from baseline +0.7 ELO
Industry Construction and real estate Modeled score76.2 / 100 Modeled category rank#4
Baseline Consumer products Adjusted ELO 1,507.1 Change from baseline +0.7 ELO
Revenue Band $100M-$500M Modeled score76.2 / 100 Modeled category rank#4
Baseline $25M-$100M Adjusted ELO 1,507.1 Change from baseline +0.7 ELO
Revenue Band Under $25M Modeled score76.0 / 100 Modeled category rank#4
Baseline $25M-$100M Adjusted ELO 1,505.9 Change from baseline -0.5 ELO
Industry Retail and distribution Modeled score76.0 / 100 Modeled category rank#3
Baseline Consumer products Adjusted ELO 1,506.0 Change from baseline -0.4 ELO
Industry Industrial manufacturing Modeled score76.0 / 100 Modeled category rank#4
Baseline Consumer products Adjusted ELO 1,506.1 Change from baseline -0.3 ELO
Industry Food and beverage Modeled score76.0 / 100 Modeled category rank#3
Baseline Consumer products Adjusted ELO 1,506.2 Change from baseline -0.2 ELO
Revenue Band $500M-$2B Modeled score76.0 / 100 Modeled category rank#4
Baseline $25M-$100M Adjusted ELO 1,506.2 Change from baseline -0.2 ELO
Company Type Business services Modeled score76.1 / 100 Modeled category rank#3
Baseline Manufacturing Adjusted ELO 1,506.5 Change from baseline +0.1 ELO
Revenue Band Over $2B Modeled score76.1 / 100 Modeled category rank#5
Baseline $25M-$100M Adjusted ELO 1,506.3 Change from baseline -0.1 ELO
Industry Automotive and transportation Modeled score76.1 / 100 Modeled category rank#3
Baseline Consumer products Adjusted ELO 1,506.4 Change from baseline +0.0 ELO
Technology Maturity High Modeled score76.1 / 100 Modeled category rank#4
Baseline Moderate Adjusted ELO 1,506.4 Change from baseline +0.0 ELO
Cost guide

What it can cost

These estimates cover licensing, setup, integrations, staff time, security, administration, and support.

Cost estimates by scenario Unit used in these estimates: production workspace.
Cost measureLowBaseHigh
First-year total$72.1K$113.6K$183K
Three-year total$155.2K$234.4K$362.7K
First-year cost per unit$72.1K$113.6K$183K
Average annual cost per unit (over three years)$51.7K$78.1K$120.9K
Cost breakdown by scenario
Included cost components
ComponentLowBaseHigh
Licensing and usage$22.5K$30K$40.5K
Implementation$12K$20K$34K
Integration$13.2K$24K$43.2K
Staff time and change management$7.7K$11K$15.4K
Security$6.3K$9K$13.5K
Administration$4.9K$6.5K$8.8K
Support$2.1K$2.8K$3.8K

Estimate assumptions: This scenario uses a category-based allowance, not a verified price for this product. Based on 1 production workspace. Confirm the vendor’s billing unit and current price or quote before budgeting.

Benefits have not been estimated: The current research does not estimate potential savings, return on investment, or how long it would take to recover the cost. Earlier benefit estimates are excluded.

Get started

What you need first

What you need firstSet up the basics

Confirm current product identity, commercial packaging, data processing terms, sign-in and access rules, retention, integrations, support model, implementation effort, and rollback conditions.

How to startSet clear limits

Verify identity, package, availability, ownership, pricing, and security evidence before approving a pilot

Before you scaleSet safe working rules

Review security and exit requirements →

Recommended next action

Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.

Decision ownerBusiness and technology owner
STARTSet a goal and owner

Define what success looks like for a test of Pigment AI and assign someone to lead it.

FIRST MONTHTest one workflow

Once the requirements above are met, compare a small trial with how your team works today.

MONTH TWOReview actual use

Track adoption, output quality, business results, and actual costs against the estimate.

MONTH THREEDecide what comes next

Use the results to decide whether to stop, adjust, or expand the pilot.

Risk profile

Required controls

Security and safe use

Confirm encryption, how the vendor uses your data, customer data separation, how long data stays and how to delete it, activity records, sign-in and user setup, where data is handled, other companies that process data, past incidents, and what your team must manage.

Exit and rollback

Review before rollout: confirm how to export your data, revoke access, and return to your existing workflow. Assign an owner and test the rollback plan before expanding use.

Recommended next step

Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.

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Research support

How to learn more about this tool

Where to check the product, price, security, and support.

Official product information pigment.com/ai Read official information →

Research observations recorded: 1. Evidence quality: Some support.

Score history

How the rating has changed

Recorded score and category rank across research updates.

  • Current catalog refresh
    TriVista Score 76.0/100
    Category rank #5
  • Research release
    TriVista Score 76.0/100
    Category rank #5

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