Stuut, the New York fintech building AI agents for enterprise finance teams, announced on October 7 that it has raised a $52.5 million Series B, bringing its total funding to $93 million just ten months after its Series A. The Stuut Series B round was led by Insight Partners, with repeat participation from Andreessen Horowitz, Microsoft's M12 venture fund, and Activant Capital, according to the company's announcement covered by FinTech Global.

The company, founded in 2024 by former Fairmarkit COO Tarek Alaruri alongside Ben Winter and Miraj Mohsin, sells what amounts to an AI workforce for the order-to-cash cycle, part of a broader wave of AI agents moving into banking and finance, the long chain of tasks that turns a signed deal into actual cash. Its agents handle order management, credit checks, collections outreach, payments, cash application, disputes, and deductions inside a single system. The platform reaches customers through SMS, email, and phone calls, logs into customer portals, reconciles incoming payments against invoices, and resolves exceptions on its own, all while keeping an auditable trail and operating inside established approval controls, according to reporting by AIWeekly and Unite.AI, both of which covered the Stuut Series B announcement.

Before this round, Stuut started in collections, but as it moved upmarket it found that late payments usually trace back to problems much earlier in the transaction: a missing purchase order, mismatched pricing, an invoice routed to the wrong contact, or context lost as a deal moved between sales, operations, and finance. That insight, central to the Stuut Series B investment thesis, shaped the product's core pitch: one agentic system that carries context across every stage of the cycle instead of a patchwork of tools that flag issues and leave humans to fix them.

Agents That Run the Receivables Stack

The headline numbers are striking. Backers of the Stuut Series B are betting those agents keep scaling: Stuut says they now run across more than 150 enterprises, including Verifone, Bishop Lifting Products, and ZoomInfo, and have processed more than $3 billion in payments over the past year. According to the company, its software automatically matches more than 95 percent of incoming payments to orders, conducts more than 81 percent of outbound collections without a human in the loop, and cuts the average customer's days sales outstanding by 47 percent. Those performance figures are company-reported rather than independently audited benchmarks, a distinction analysts flag whenever a vendor leads with automation percentages.

Still, the customer examples are concrete. ZoomInfo, cited as a case study in coverage by Value Add Pulse, saw its time to first collections touch fall by 90 percent and its days sales outstanding drop from 51 to 40 days. According to Stuut, every enterprise that has completed a proof of concept has converted into a paying customer, and clients report freeing up to 40 percent more cash flow. The platform the Stuut Series B is meant to scale connects to existing enterprise systems, including SAP, Oracle, NetSuite, and Microsoft Dynamics, so finance teams do not need to rip out their ERP to adopt it.

Asked why the Stuut Series B landed at this moment, CEO Tarek Alaruri told reporters that most businesses lack the bandwidth to segment their customer base or give customers the level of service they deserve, and that AI's continuous learning loops are what let smaller teams deliver better financial performance with less manual effort. Investor Julian Marcu of Insight Partners put the problem more bluntly: a single invoice error can trigger weeks of follow-up across teams and systems, and at scale that adds up to real revenue left on the table.

A Crowded Race for the Back Office

Stuut is raising into one of the most competitive niches in applied AI. The order-to-cash and AI collections space has filled rapidly this year. The Stuut Series B also signals how hot the category has become. Competitors include Fazeshift, which has raised roughly $22 million in total, along with Lunos and Round, while European rival Procuros closed a €20 million Series A around the same time as Stuut's announcement, according to analysis by Value Add Pulse, in a year when even agentic AI security startups are raising big rounds. With that many funded players chasing the same back-office workflow, differentiation increasingly comes down to integration depth with existing ERP and accounting systems rather than the automation percentage any single vendor claims.

The prize is large enough to justify the pile-in. Businesses globally hold around $16 trillion in receivables, and Stuut estimates that a poorly functioning order-to-cash process can cost a company 5 percent of its revenue, nearly $1 trillion a year across the Fortune 500. The Stuut Series B investor roster tells its own story: Andreessen Horowitz led Stuut's $29.5 million Series A in November 2025 after its $5.9 million seed, and the same firms are now doubling down, suggesting growing conviction in the category rather than a new investor discovering it for the first time.

Where the $52.5 Million Goes

According to the company's announcement, the Stuut Series B proceeds will go toward meeting growing customer demand and expanding beyond collections and receivables into broader financial infrastructure, including credit, lending, and the movement of funds. That expansion, funded by the Stuut Series B, puts Stuut on a collision course with traditional fintech infrastructure providers, but it also reflects how agentic AI is changing the calculus: software that can act across ERP systems, bank accounts, CRMs, and payment portals under human-set guardrails starts to look less like a collections tool and more like an autonomous finance department.

Whether Stuut can defend its lead against well-funded rivals will depend on the less glamorous parts of the stack: onboarding speed, exception-handling quality, and how much trust CFOs are willing to place in agents that talk to their customers and move their money. Whether the Stuut Series B pays off will come down to execution. For now, the round gives the company runway to prove that AI agents can run the receivables stack end to end, and that enterprises are ready to let them.