Pigment Secures $250M Series E Funding at $2.3B Valuation as AI Business Planning Gains Momentum

Pigment Closes Major Funding Round with European and Tech Giants

Pigment announced a $250 million funding round on Wednesday that values the Paris-based AI business planning company at $2.3 billion1

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. The Series E funding was led by the Scaleup Europe Fund, managed by Swedish investment firm EQT, with participation from World Innovation Lab and existing investors including Greenoaks, ICONIQ, IVP and Meritech1

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. Nvidia also plans to invest in the round, adding to its recent European bets, though the chipmaker's stake has not yet been finalized1

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. Nvidia CEO Jensen Huang revealed the chipmaker's backing last week while he was in France2

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Revenue Doubles as AI Agents Drive Platform Growth

The AI-driven planning platform achieved a significant milestone earlier this year when its annual recurring revenue surpassed $100 million, doubling from the previous year1

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. Pigment expects to repeat that doubling next year2

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. The company reports that 85% of new metrics on its platform are now created by AI agents rather than human users, demonstrating the rapid adoption of autonomous planning capabilities1

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. This shift represents a fundamental change in how enterprises approach planning workflows. Companies use Pigment to plan budgets, sales targets and hiring in one shared model1

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Enterprise Adoption Spans Global Leaders

Pigment's customer base includes major global enterprises such as Danone, DirecTV, Siemens, Snowflake, ServiceNow and Unilever2

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. AI companies including Anthropic, ElevenLabs and Uber also use the enterprise AI platform2

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. L'Oréal is moving salary planning for more than 95,000 staff onto the software, replacing its existing salary planning tool1

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. The company is actively seeking customers that currently use software from Microsoft, SAP, Oracle, IBM and Anaplan2

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Graphite Engine Powers Autonomous Planning Vision

Most of the $250 million funding round will go toward research and hiring engineers to work on Graphite, the computing engine underneath the product, and on AI agents that can run whole planning tasks from start to finish1

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. The Graphite compute engine allows thousands of AI agents and people to work on the same governed model simultaneously, scaling to hundreds of billions of data points with deterministic, fully traceable results4

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. According to Pigment, this capability makes autonomous planning possible because agents can only be trusted to run planning workflows when every number they produce is accurate and every action can be traced4

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European Tech Ambitions and Market Expansion

The Scaleup Europe Fund is backed by the European Commission alongside private investors such as Allianz and Novo Holdings, aiming to raise €5 billion with the goal of keeping fast-growing European tech companies from raising money abroad1

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. Shannee Braun, a managing director at EQT and the Scaleup Europe Fund, noted that large enterprises often handle planning in disconnected places, with many still using Excel in disparate systems2

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. Eléonore Crespo, Pigment's co-founder and chief executive, indicated that a handful of Asian investors are expected to join the round, helping the company expand into new regions2

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. Pigment last raised money in April 2024, when it closed a $145 million Series D led by ICONIQ Growth1

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Future of Enterprise Planning Transforms

Co-founders Eléonore Crespo and Romain Niccoli stated that enterprise planning will change more in the next few years than it has in the last thirty years, with legacy tools being left behind1

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. The agentic AI platform enables companies to respond to change as fast as it happens, with AI agents running planning workflows end to end and turning decisions into action3

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. Braun emphasized that in most companies, the richest picture of how a business actually runs sits in its plans, and Pigment has built that foundation with a single platform connecting finance, sales and workforce planning3

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. The platform serves as the reasoning runtime for enterprise data, helping teams model, analyze and act in hours rather than months3

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