By PYMNTS | October 21, 2026
Business planning and performance management platform Pigment is worth $2.3 billion after raising $250 million in a Series E funding round, according to a Wednesday (Oct. 21) press release.
The financing will help Pigment further develop its compute engine Graphite and the artificial intelligence agents running it, the release said.
“Enterprise planning will change more in the next few years than it has in the last 30,” Pigment Co-Founders Eléonore Crespo and Romain Niccoli said in the release. “Legacy tools are being left behind, and the world’s most advanced AI companies now run their planning on Pigment. With the backing of our investors, we are moving fast to make autonomous planning a reality for every enterprise. With AI agents running planning workflows end to end and turning decisions into action, companies can respond to change as fast as it happens.”
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Graphite allows thousands of AI agents and people to work on the same governed model at the same time, “scaling to hundreds of billions of data points with deterministic, fully traceable results,” according to the release.
“That is what makes autonomous planning possible,” the release said. “Agents can only be trusted to run planning workflows and act on the results when every number they produce is accurate and every action can be traced.”
With the new financing, Pigment will keep enhancing Graphite to be able to manage even larger and more complex workloads, while advancing its agents from constructing models and analyzing data to running planning workflows end to end, according to the release.
The Pigment platform is used by large enterprises such as Danone, DirecTV, Siemens, Snowflake, ServiceNow and Unilever, with companies including Anthropic, ElevenLabs and Uber using it to “serve as the reasoning runtime for their enterprise data,” the release said.
Meanwhile, PYMNTS CEO Karen Webster wrote Wednesday that PYMNTS Intelligence has been researching what companies are doing to gain an agentic AI edge. The biggest move is letting agents do the work.
“Leaders are far more willing to let agents carry out the work, with a person approving it, instead of keeping AI as a helper running a parallel set of tasks,” Webster wrote. “It’s the hardest step to take because it changes who does the work and who’s accountable for it. It’s also where leaders set themselves apart on agents, from how widely they run agentic AI to how much room they give it to act.”
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