Freehand Raises $75 Million for AI Agents Managing Supply Chain Spend

SAN FRANCISCO, Calif. - Freehand has raised $75 million in Series B financing to expand the deployment of artificial intelligence agents tasked with managing complex supply chain spending workflows. The capital infusion comes at a time when enterprise interest in autonomous systems is shifting from simple generative text to transactional execution. The funding round was co-led by Battery Ventures and NewRoad Capital, with participation from PSP Growth and Nexus Venture Partners. The San Francisco-based company, which previously operated under the name Pando, is positioning itself at the intersection of enterprise resource planning and autonomous software.

The new capital will support a significant expansion of Freehand’s technical capabilities, including product development, strategic hiring, and a broader international footprint. As global supply chains face increasing volatility and rising operational costs, the move to automate back-office procurement and finance functions has become a primary objective for the C-suite. For Freehand, the transition from its previous identity as Pando to its current branding reflects a deeper focus on the 'hands-free' nature of its agent-driven platform, which aims to minimize the manual intervention traditionally required to manage a global supplier network.

Freehand’s core value proposition rests on its ability to assign dedicated teams of AI agents to handle high-frequency, recurring work across the procurement lifecycle. These agents are designed to coordinate directly with suppliers, process incoming invoices, and manage payment disbursements for large-scale enterprises. Rather than acting as a simple layer of documentation, the platform connects directly into existing enterprise systems to carry a process from the initial procurement request through to final completion. This represents a shift away from traditional software-as-a-service models toward an 'agentic' model where the software performs the labor rather than just providing a dashboard for human users.

The deployment of such technology addresses a persistent bottleneck in corporate efficiency. In a typical multinational organization, the sheer volume of purchase orders and shipments creates a massive administrative burden that is prone to human error and processing delays. By deploying autonomous agents, Freehand seeks to provide a layer of consistency that exceeds traditional manual workflows. The company’s architecture is designed to allow enterprise employees to shift their focus from high-volume data entry to high-level policy setting, where they define the rules of engagement and step in only to review specific exceptions identified by the AI.

The market for supply chain automation is particularly lucrative due to the scale of the operations involved. Freehand has already secured a roster of high-profile customers, including global leaders such as Meta, Unilever, Johnson & Johnson, Dunkin', Pfizer, and Cardinal Health. For organizations of this magnitude, the financial incentives for automation are clear. Even a marginal reduction in spending leakage, or a slight improvement in the speed of revolving payments, can generate tens of millions of dollars in recovered value. In a high-interest-rate environment, the ability to optimize working capital through more efficient supply chain spend management is a major competitive advantage.

Analysts in the enterprise software space have noted that the success of agent-led platforms depends heavily on their ability to integrate with 'messy' real-world systems. Large enterprises often rely on a fragmented mix of legacy databases, third-party logistics platforms, and localized accounting software. Freehand’s agents must navigate these disparate data sources to maintain a cohesive record of transactions. The technical challenge lies not just in the intelligence of the agents themselves, but in their ability to maintain data integrity across different regional jurisdictions and business units.

Furthermore, the risks associated with automating financial transactions at scale are significant. While automation can drive efficiency, it can also magnify the impact of systematic mistakes if not properly governed. An autonomous agent managing supply chain spend may encounter complex contract terms, fluctuating international tax codes, or disputed delivery reports that require nuanced judgment. A single error in interpreting a sanction rule or an international trade regulation could result in severe compliance failures. Consequently, the burden is on startups like Freehand to prove that their systems are robust enough to handle the edge cases of global commerce.

To mitigate these risks, enterprises require sophisticated controls integrated into their automation layers. These include detailed permissions frameworks, strict separation of duties, and comprehensive audit trails that can be scrutinized by internal and external compliance teams. Freehand’s platform is designed to provide this level of transparency, ensuring that every action taken by an AI agent is traceable and justifiable. In the highly regulated sectors in which many of its clients operate, such as healthcare and finance, the auditability of an AI system is often as important as its performance metrics.

Beyond internal compliance, Freehand must also manage the external dynamics of supplier relationships. Procurement is inherently a social and collaborative process; negotiating terms and resolving payment disputes often requires a level of rapport that automated systems have historically struggled to replicate. If a supplier feels that an automated negotiation process is too rigid or that payment systems are overly punitive, it could damage the long-term health of the enterprise’s supply base. The long-term viability of Freehand’s model will depend on whether it can prove that automated interactions can be as effective and professional as human-led ones.

The Series B funding arrives as Freehand faces a dual-front competitive landscape. On one side, the startup is competing against established procurement and ERP giants that are rapidly integrating AI features into their own legacy suites. On the other side, a new wave of venture-backed agentic startups is targeting specific niches within the supply chain, from freight forwarding to spend analytics. Freehand’s success will likely be determined by its ability to execute reliably across the entire end-to-end lifecycle of a transaction, rather than focusing on a single silo of the procurement process.

Industry observers have pointed out that the relevant measure of success for Freehand is not the sheer number of automated steps it can perform, but the tangible business outcomes it delivers. Key performance indicators for the platform will include the total value recovered from erroneous billing, the percentage of exceptions resolved without human intervention, and the successful avoidance of supply chain risks through proactive monitoring of supplier health and compliance data. As the company scales, it will need to demonstrate that its agents can handle the increasing complexity of a global economy that is constantly shifting due to geopolitical and economic factors.

The participation of experienced investors like Battery Ventures and NewRoad Capital suggests a strong belief in the sector's potential for transformation. These firms have a history of backing enterprise software companies that tackle deep-seated operational inefficiencies. For Freehand, the challenge in the coming years will be to maintain its growth trajectory while ensuring that its technology remains adaptable to the diverse needs of its enterprise clients. The transition from a promising startup to a cornerstone of the global supply chain infrastructure will require both technical innovation and a deep understanding of the intricacies of corporate finance.

Looking ahead, the expansion of AI agents into the domain of supply chain spend is likely to be a defining trend in enterprise technology. As more companies move toward autonomous teams of software agents, the definition of a 'workforce' is beginning to change. Freehand represents a vanguard of this shift, attempting to prove that software can do more than just facilitate work—it can take responsibility for the successful execution of complex, multi-stage business processes. The next phase of the company's evolution, supported by this $75 million Series B, will be a critical test of whether AI agents can truly operate at the scale and reliability required by the world’s largest corporations.