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Stuut raises $52.5 million for its AI agents in order-to-cash processes

IA en un minuto newsroom · Editor: Jon Elgezabal

In 30 seconds

Insight Partners leads the $52.5 million Series B that Stuut, a New York company, is using to fund AI agents that chase invoice payments between businesses. The platform already serves more than 150 companies and has handled over $3 billion, with a collection time 47% shorter according to its own figures. Next it wants to win more large enterprises and add credit, loans and fund transfers.

Stuut, a New York company that uses AI agents to handle invoice collection between businesses, has closed a $52.5 million Series B round. It is led by Insight Partners, with participation from Andreessen Horowitz, M12 (Microsoft's venture fund) and Activant, and comes ten months after its Series A, its CEO Tarek Alaruri announced on Wednesday on the company blog. Founded by Tarek Alaruri, Ben Winter and Adam Chaarwari, Stuut has now raised $93 million in total, according to The Next Web.

According to the company, more than 150 companies now use Stuut, including Fortune 50 and Fortune 500 enterprises, and over $3 billion has moved through its platform. Stuut says its customers are cutting DSO (the average number of days it takes to get paid) by 47% and freeing up as much as 40% more cash flow.

It started with collections of overdue invoices and now covers the whole order-to-cash cycle (the journey from receiving an order to getting paid): order management, credit, collections, payments, cash application, disputes and deductions. Its software can contact a customer, log into a portal, investigate what happened, resolve an exception and apply the cash, inside the systems the company already uses and with every action auditable.

It names ZoomInfo, which has expanded Stuut into disputes; Honeywell, which runs it on top of legacy SAP; and Bishop Lifting, which uses it across 45 branches.

With the money it plans to reach more large enterprises and move into credit, lending and the movement of funds between businesses.

Why it matters · analysis and opinion

When funds such as Insight Partners, Andreessen Horowitz or Microsoft's join a round like this, it shows where they see business in AI agents: not in conversation, but in repetitive administrative tasks with an outcome that is easy to measure, such as getting paid sooner. Collections between businesses fit well because every step leaves a trail and can be audited, which matters a lot in a finance department. Independent results are still missing: the improvements cited come from the company itself. Anyone who invoices other businesses can start with a simple question, how much time their team spends chasing payments and matching cash by hand. That is where this kind of tool promises savings, and where it is worth asking for a trial with the company's own data before signing up.

Official source: Stuut · Written with the help of AI: how we make the news

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