Paris’ Pivot pockets €34.4 million to power enterprise procurement with agentic AI

Pivot, a Paris-based startup building an AI operating system for procurement, today announced it has raised €34.4 million ($40 million) in a Series B funding round, bringing the company’s total funding to €60.2 million ($70 million). 

The oversubscribed round was led by Forestay Capital and Notion Capital, with participation from Greyhound and procurement industry veterans, including the former Global VP Sales at Ariba and the founder of EcoVadis, as well as existing investors including Hedosophia, Visionaries Club, and Emblem.

“Finance and procurement leaders tell us the same thing: they don’t need another workflow layer. They need to know what the business is committing to spend before it becomes a problem at close. Pivot gives enterprises that visibility, reinforced by agentic AI that shifts the manual grind from a human burden to a machine burden. This funding lets us bring that approach to more customers, more markets, and more complex enterprise environments,” said Marc-Antoine Lacroix, co-founder, Pivot. 

Founded in 2023 by Lacroix, Estelle Giuly, and Romain Libeau, Pivot states that it gives organisations real-time visibility into committed spend, helps maintain financial integrity, and automates the workflows behind purchasing, invoicing, payments, and reporting in a single platform.

According to the company, for most enterprises, procurement remains one of the least automated functions. It highlights how spend commitments pass through disjointed, outdated systems, email threads, spreadsheets, and manual approval processes, resulting in finance teams having limited visibility until well after the commitments are finalised. This results in difficult closes, weakened forecasting, and teams spending too much time reconciling planned spending with what was recorded in the books.

It also mentions that, despite the long-standing promises of legacy procurement platforms to resolve these issues, they frequently result in difficult implementations, heavy administrative burdens, and inflexible architectures that create additional friction. A newer generation of intake and orchestration tools has improved the user experience at the front end, but they don’t tackle the data architecture and ERP integration challenges. The AI features bolted onto both have largely failed across enterprises, constrained by the fragmented data and disconnected systems underneath.

Pivot claims to fill the gap between legacy platforms and lightweight intake tools with an enterprise-grade AI operating system built from the system of record up. The platform manages the complete procurement lifecycle, including sourcing, approvals, purchasing, invoicing, payments, budgets, expenses, and reporting, in a single platform.

“The platform maintains the integrity of the ERP while giving procurement and finance teams real-time visibility into committed spend before it becomes exposure. Agentic workflow configuration, real-time integrations with dozens of ERPs, and support for complex multi-entity environments allow organisations to move faster while maintaining stronger financial discipline,” the company mentioned. 

Pivot operates in over 25 countries, serving enterprise clients such as DoorDash, Lemonade, and Flix. It reportedly handles €2.5 billion ($3 billion) in invoices each year. 

“Procurement is one of the last major enterprise functions still waiting to be rebuilt for the AI era. The category is dominated by legacy solutions that rely on cumbersome manual processes. Pivot is the only player reimagining it from the system-of-record up to serve agentic workflows. Owning the data layer end-to-end is what lets agentic AI operate inside the flow of procurement work with complete context,” said Jessica Thomas, Partner, Notion Capital. 

With this fresh capital, the company plans to further accelerate the development of its agentic AI capabilities, expand into new enterprise markets, and deepen integrations with ERPs and financial systems across complex enterprise environments.

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