Freehand
Series B
Freehand builds autonomous AI teams that manage supply-chain spend for Fortune 500 enterprises.
Freehand deploys autonomous AI teams that run supply-chain spend operations end to end, reading contracts, auditing invoices, negotiating with suppliers, identifying leakage, and processing payments. Its agents are built on a Category Context Graph that unifies unstructured documents and communications with structured enterprise data.
The Category Context Graph gives each agent the situational knowledge of a tenured supply-chain expert, with an audit trail for every decision, replacing outsourced teams and legacy spend-management tools across logistics, direct materials, and MRO categories.
Enterprises spend billions on supply-chain software and still hire large teams to do what that software cannot, creating demand for autonomous agents that close the gap. As AI agents move from assisting workflows to owning outcomes, supply-chain spend management is shifting toward platforms that can decide, act, and audit.
Demand is concentrated among large enterprises running complex categories like logistics, direct materials, and MRO, where the cost of outsourced teams and legacy tools creates a clear wedge for agent-native platforms.
Freehand differentiates by building agents that act and take accountability for outcomes rather than only suggesting actions, with a full audit trail for every decision. Its Category Context Graph compounds across customers, so each decision improves the accuracy and context of the next.
The platform replaces both outsourced teams and legacy spend-management software for Fortune 500 enterprises, turning passive spend data into active, auditable savings without adding headcount or outsourcing contracts.
Freehand builds autonomous AI teams that manage supply-chain spend for Fortune 500 enterprises.