Freehand raises US$75m as AI takes control of supplier spending

Freehand has raised US$75m to expand artificial intelligence agents that manage procurement, supplier relationships, invoices and payments for large multinational companies.

The financing was co-led by Battery Ventures and NewRoad Capital Partners, with participation from PSP Growth, Nexus Venture Partners and other investors. Freehand did not disclose its valuation or identify the funding round by conventional stage.

The San Francisco-based company says its technology is already deployed by businesses including Meta, Unilever, Johnson & Johnson, Pfizer, Dunkin’ and Cardinal Health. The agents are designed to read contracts, negotiate with suppliers, identify pricing leakage, process invoices and payments, and reconcile transactions within corporate systems.

Unlike conventional automation software, which flags information for an employee to review, Freehand is positioning its agents as systems capable of making decisions and completing defined actions. Its initial focus is on replacing manual and outsourced work involved in validating and paying supply-chain invoices.

The company claims early customers have recovered between 5% and 10% of spending in complex categories and shortened procure-to-pay cycles by more than 70%. These are company-reported results and will depend on the processes, categories and controls involved in each deployment.

For finance teams, the potential benefit is not limited to reducing administrative costs. Contract and invoice data can provide an early view of supplier exposure, committed expenditure, pricing discrepancies and expected cash outflows. Processing that information more quickly could improve cash forecasting and reduce the period between invoice receipt, approval and settlement.

The model also raises governance questions. Companies will need clear rules governing which payments an agent can approve, how exceptions are escalated and who remains accountable when contractual information is incomplete or conflicting.

Freehand’s funding illustrates how the AI investment market is moving towards applications that directly control financial and operational workflows. Accounts payable and procurement are particularly attractive targets because large organisations process substantial volumes of repetitive transactions while relying on fragmented software and outsourced teams.

The commercial test will be whether Freehand can scale autonomous decision-making without weakening auditability, supplier relationships or payment controls. The involvement of several established investors gives it considerable capital to pursue that expansion.