The Pulse
Stuut Raises $52.5M to Automate Enterprise Finance Work
Stuut raised a $52.5 million Series B led by Insight Partners to expand its AI-powered order-to-cash platform. The company says its software serves more than 150 customers and has processed over $3 billion in payments.
AI.info Team · Written with AI ·
Stuut announced a $52.5 million Series B on October 7, 2026, betting that AI agents can take on the work between an enterprise making a sale and receiving payment. Insight Partners led the round, with Andreessen Horowitz, Microsoft venture fund M12 and Activant participating, according to the company’s financing announcement. Stuut says the funding brings its total raised to $93 million, about ten months after its Series A.
The New York company sells software for “order-to-cash,” the chain of tasks that includes order management, collections, payment matching, disputes and deductions. Stuut says its agents follow problems across those steps, contacting customers by text, email or phone, working through accounts-payable portals and reconciling incoming money. The company plans to use the new capital to meet demand and expand further into credit, lending and funds movement.
From a missing purchase order to a delayed payment
A missing purchase order or incorrect invoice detail can set off a chain of manual work: an invoice gets rejected, a supplier submits it again through a customer portal, and a short payment or deduction requires follow-up. Stuut’s pitch is that its software can preserve the context of that chain and take the next action, rather than leaving finance staff to coordinate each step across email and enterprise systems.
The company says it integrates with customers’ existing ERP, banking, CRM and payment systems and can go live in days. It says each action is auditable and changes to an agent’s behavior require approval. Those controls matter because the product acts inside financial workflows, where an incorrect adjustment or customer message can have consequences beyond a missed task.
“Many enterprises have more cash tied up in receivables than they realize. 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,” said Julian Marcu, vice president at Insight Partners and a Stuut board member.
Stuut reports 150 customers and $3B processed
Stuut says more than 150 customers use its platform, its customer base has grown fivefold since last year, and more than $3 billion has moved through the software. It reports that 81.7% of outbound collections activity runs without human involvement and that its system automatically matches 95% of incoming payments.
The company also says customers free up to 40% more cash flow and cut days sales outstanding, or DSO, by 47%. Those are figures supplied by Stuut; its announcement does not detail the customer sample or calculation behind the overall percentages. Individual examples in the release are more specific: Stuut says Bishop Lifting cut overdue receivables by 35% and freed $3 million in working capital after deploying the system across 45 branches.
Autonomy meets finance controls
The funding arrives as Stuut expands beyond collections into credit and order management, aiming to catch issues before they become unpaid invoices. The company describes a larger ambition to connect the financial infrastructure around business transactions, from credit decisions to the movement of funds. That expansion would put the product in more consequential workflows than reminders and payment matching, making oversight and reliable handling of exceptions central to its pitch.
For now, Stuut’s reported adoption and automation rates describe a company already working across large-company finance processes, not proof that every task can run without human review. Its own figures distinguish between activities: more than four-fifths of outbound collection work is automated, while incoming-payment matching reaches 95%. The $52.5 million round will fund the company’s effort to extend that automation further across the transaction chain.