Pigment: Gen-3 xP&A Platform for Modern Finance & Operations

Pigment is a Gen-3 integrated business planning platform built for organizations that need real-time, multi-scenario planning across Finance, Revenue, HR, and Operations — without inheriting the complexity and drag of legacy EPM. It combines an in-memory modeling engine, strong UX, and an emerging AI "agentic" layer to support xP&A at scale.

What Pigment is

• AI-powered integrated business planning / xP&A platform
• Designed to replace fragmented models across FP&A, RevOps, HR, and Supply Chain with a single connected planning layer

Company facts

• Founded: 2019 (Paris)
• HQ & presence: Paris + US (San Francisco) + UK; global enterprise focus
• Funding: ~$145M Series D in April 2024, led by ICONIQ Growth; total funding in the high-hundreds of millions from ICONIQ, IVP, Meritech, Greenoaks, Felix, and others
• Tech stack (inferred from job listings):
  • Backend: C# on .NET Core (Linux), custom formula & query engine
  • Data: PostgreSQL
  • Infra: Google Cloud Platform, Kubernetes, Docker, Terraform, RabbitMQ, CircleCI
  • Frontend: React, TypeScript

Who uses Pigment today (public stories & inferred logos)

Well-known scale-ups use Pigment for unified FP&A, including:

• The Coca-Cola Company
• Unilever
• ServiceNow
• Fivetran
• Evenflo
• Cobalt
• Frontify
• American Power & Gas
• Muck Rack
• SpotOn

Best fit segments

Pigment is best suited for:

• Mid-market to large enterprises that:
  • Have multiple entities, regions, or product lines
  • Need integrated planning across Finance, Revenue, HR, and Operations
  • Are outgrowing Adaptive/Planful/Vena or are blocked by Anaplan's cost/complexity
• Typical sweet spots:
  • High-growth SaaS and tech
  • Large consumer/CPG
  • Global services / B2B platforms
  • Organizations already using modern ERPs and CRMs (NetSuite, SAP S/4, Salesforce, etc.)

Less ideal for

• Very small teams that only need basic cash/runway modeling
• Organizations that insist on remaining 100% spreadsheet-native and are unwilling to move planning logic into a centralized model
• Purely consolidation-led projects (Pigment can do planning-adjacent consolidation, but it is not a pure consolidation engine like OneStream/Tagetik)

Pigment is an xP&A platform rather than a single-function FP&A tool. At a high level you can think in four domains:

From public engineering materials and job posts, Pigment's architecture looks like:

Custom calculation engine

• Proprietary formula and query engine optimized for multi-dimensional, high-volume models
• Real-time recalculation, dependency graph management, granular dimensions

Service & data layer

• Backend in C#/.NET Core on Linux
• PostgreSQL as a core data store
• Eventing/message bus via RabbitMQ

Cloud infrastructure

• Deployed on Google Cloud Platform
• Containerized via Docker, Kubernetes
• Infra as code with Terraform; CI/CD via CircleCI

Front-end

• Web app in React + TypeScript
• Rich grid, charting, workflow UI

Pigment is currently one of the more aggressive players in AI-powered planning, leaning into an "agentic AI" narrative:

What AI does today (publicly):

• AI Agents:
  • Analyst-style agents that can analyze plans, highlight anomalies, and surface drivers
  • Planner/Modeler agents that can propose changes to models or plans based on observed patterns
• Insights & variance analysis
  • Automated contribution & variance analysis (e.g., what drove revenue growth/decline) with natural-language summaries and visual explanations
• Self-driving finance narrative
  • In webinars and videos, Pigment talks about "AI agents for self-driving finance" — AI that not only describes what happened but proposes what to do next.

Pigment positions itself as an integrated planning platform that connects to your ERP, CRM, HRIS, and data stack:

Common integration patterns include:

• ERPs: NetSuite, SAP S/4HANA, Oracle, Microsoft Dynamics (via partners and ETL)
• CRMs & GTM tools: Salesforce, HubSpot
• HR / HCM: Workday, HiBob, BambooHR, etc.
• Data & ETL: Warehouse/ETL stacks (Snowflake, Fivetran, dbt, MuleSoft)

There's a growing ecosystem of implementation partners and SIs specializing in Pigment:

• Boutique and mid-sized partners (e.g., valantic, Alpha FMC, Bright Point, Polestar) publish case studies around Pigment-based FP&A/joint solutions.

Implementation timelines vary by scope, but from partner case studies you see patterns like:

• Light FP&A footprint (data hub + P&L + basic workforce planning):
  • Roughly 8–12 weeks from project kickoff to first live forecasting cycle (assuming you bring clean chart of accounts and initial data).
• Full FP&A suite (data hub + revenue + COGS + OpEx + workforce + full 3-statement + reporting):
  • Often 3–6 months, with iterative releases
• Cross-functional xP&A (Finance + HR + Sales + Supply Chain):
  • Multi-wave deployment and ongoing model build; think phased programs rather than a one-and-done go-live.

Typical implementation components:

• Data modeling and "Data Hub" design
• Core financial model (Revenue, COGS, OpEx, HC, P&L, BS, CF)
• Security model: access control by role, region, function
• Scenario templates (Base, Upside, Downside)
• Reporting/dashboarding and board pack templates

Pigment does not publish pricing, but based on market data:

Commercial model:

• Annual subscription, typically tied to:
  • Platform edition
  • Number of model domains (Finance only vs Finance + HR + Sales, etc.)
  • User tiers (modelers, planners, viewers)

Relative cost position:

• Generally more expensive than mid-market tools like Cube or Vena, but often 30–50% lower TCO than a comparable Anaplan deployment once you include services and ongoing maintenance.

Pigment's own site and partner ecosystem highlight a growing library of case studies across industries:

Examples (you can name-drop a few on your page, then link out or summarize):

• Fivetran – uses Pigment for driver-based forecasting and scenario modeling; emphasizes the ability to apply assumptions and generate calendarized forecasts quickly.
• Cobalt – improved FP&A security and scenario analysis with Pigment, leveraging access controls and scenario modeling for more robust planning.
• Evenflo – uses Pigment to quickly analyze tariff impact on margins and model P&L implications in a fast-changing cost environment.
• Frontify (via valantic) – implemented a full FP&A solution including scenario planning and reporting, significantly reducing manual data gathering.
• Fintech "automated FP&A model" case (via Alpha FMC) – shows a full Pigment build with modules for Data Hub, Revenue, COGS, OpEx, Workforce Planning, P&L, BS, CF, and board reporting.
• American Power & Gas, Muck Rack, SpotOn (via Bright Point) – case studies highlight moving from Excel chaos to centralized Pigment models, real-time data feeds, and unified scenario planning.

From a buyer's point of view, Pigment's GTM motion looks like:

• Enterprise & upper mid-market direct sales:
  • Account-based GTM toward CFOs, FP&A leaders, and operational planning leaders
• Partner-assisted deals:
  • SIs and boutiques (valantic, Alpha FMC, Bright Point, Polestar) co-selling and implementing Pigment in specific industries (SaaS, CPG, manufacturing, fintech).
• Education & thought leadership:
  • Weekly live demos / tours
  • Webinars on "AI Agents", "self-driving finance", and xP&A best practices

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