Freehand, a startup building AI agents that manage supply-chain spend for large enterprises, has raised $75 million in funding. The round was co-led by Battery Ventures and NewRoad Capital Partners, with participation from PSP Growth and Nexus Venture Partners. The investment reflects growing interest in using AI to handle the $20 trillion that US companies spend annually on raw materials, logistics, and services, according to the Bureau of Economic Analysis.
The outsourcing model under pressure
American companies spend more than $20 trillion a year on the raw materials, logistics, data centres, and services that power the economy. For decades, this spend has been managed on legacy software and armies of outsourced labor. Tariffs, taxes, and immigration policies have now put additional strain on that outsourcing model, Freehand says.
Freehand aims to replace this machinery with autonomous AI teams. Its agents negotiate rates, enforce contracts, manage suppliers, process payments, and reconcile data within enterprise systems. The goal is to let AI handle the routine and complex decisions that currently require human intervention.
A graph-based AI approach
The company's core technology is the Category Context Graph, which captures every decision, transaction, and exception across a spend category. It unifies unstructured data from documents and communications with structured data from enterprise systems. This gives each AI agent the situational knowledge of a tenured supply-chain expert, along with an audit trail that explains every decision. Every AI agent continuously enriches the graph as it works.
Early results and client adoption
Meta, Unilever, Johnson & Johnson, Pfizer, Dunkin', and Cardinal Health have already signed on. Freehand says clients have recovered 5-10% of spend in complex categories, completed workflows 5-7x faster, and reduced procure-to-pay cycles by more than 70% in early deployments.
Nitin Jayakrishnan, CEO of Freehand, said, "Enterprises spend $16 billion a year on supply chain software and another $348 billion hiring people to do what this software cannot. We built Freehand to close that gap - with AI Agents that decide, act and take accountability for outcomes. This is the beginning of true autonomy in the enterprise."
For managers adapting to the shift toward autonomous supply chain tools, an AI Learning Path for Supply Chain Managers can help build relevant skills.
Why this matters for management
The funding and early results suggest that AI agents can deliver measurable cost savings and efficiency gains. For managers, this means less time spent on transactional oversight and more focus on strategic sourcing and risk management. The technology promises to shrink the $348 billion spent on manual supply chain work, shifting the role of management from process enforcement to high-level decision-making.
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