Stuut has built an AI-driven end-to-end order-to-cash platform that automates collections, cash application, payments, disputes, and deductions to free up cash flow and reduce DSO for large enterprises.

The platform claims to automatically match over 95% of incoming payments to orders and automate more than 81% of outbound collections, delivering a substantial drop in average DSO.

Investors are signaling confidence in agentic AI to automate and scale order-to-cash workflows while preserving financial controls and auditability, with Stuut aiming to broaden from collections into full order-to-cash management.

Stuut has grown to over 150 large enterprise clients and processed more than $3 billion in payments in the past year.

The Series B round was led by Insight Partners, with participation from Andreessen Horowitz and Microsoft’s M12.

US trade receivables were about $7.48 trillion at the end of Q1 2026, and global unpaid receivables are estimated around $16 trillion, underscoring the scale of liquidity challenges in working capital.

Strategic partnerships with Fiserv, EY, Altamont, HIG, and others are aimed at accelerating deployment and scale in working capital initiatives.

CFOs note that results depend on existing processes and are part of a broader set of initiatives, with customers like ZoomInfo citing data partnerships contributing to outcomes.

Stuut, founded in New York by Tarek Alaruri, Ben Winter, and Adam Chaarwari, has raised $93 million and counts Honeywell, ZoomInfo, and PerkinElmer among its clients.

The core problem is inefficiencies in order-to-cash caused by missing POs, data issues, or misdirected invoices, which can wipe up to 5% of revenue and total about $1 trillion annually across Fortune 500 companies.

Customers like Bishop Lifting and ZoomInfo report improvements such as reduced overdue receivables, faster first contact, DSO reductions, and staffing efficiencies from automation.

ZoomInfo, for example, reduced DSO from 51 to 40 days and reported substantial cash collection gains, reflecting broader AR improvements.