Freehand is an enterprise AI company building autonomous AI Teams for supply chain spend management. Its platform reads contracts, invoices, emails and operational data, reasons across commercial rules and policies, and executes workflows including invoice auditing, contract enforcement, supplier management, dispute resolution, procurement and payments. Freehand's Category Context Graph combines structured enterprise data with unstructured documents and communications to provide decision context and auditable execution. The company serves large enterprises including Meta, Unilever, Johnson & Johnson, Pfizer, Dunkin' and Cardinal Health and integrates its workflows with enterprise systems such as SAP, Oracle and Coupa.
Freehand offers candidates the opportunity to work on autonomous AI systems handling high-stakes enterprise workflows such as contract interpretation, invoice auditing, procurement and payments. The company has raised about $100 million, including a $75 million Series B in 2026, and reports deployments with major enterprises including Meta, Unilever, Johnson & Johnson and Pfizer. Engineering work includes distributed systems, agent orchestration, context graphs and improving the reliability of AI on complex enterprise data. Freehand is also actively expanding its engineering and go-to-market teams. As a rapidly scaling Series B company, roles are likely to involve significant ownership and ambiguity alongside the opportunity to shape an emerging enterprise AI category.
Co-founder and CEO of Freehand. Jayakrishnan previously co-founded enterprise logistics software company Pando and iDelivery and has experience building supply-chain technology businesses. He studied finance and marketing management at Singapore Management University and leads Freehand's strategy and expansion of autonomous AI for enterprise spend operations.
Co-founder and CPTO of Freehand. Manohar previously co-founded Pando, where he served as CTO, and earlier worked in systems architecture at SanDisk. He holds a master's degree in Electrical Engineering from Arizona State University and brings experience in enterprise logistics software, systems architecture and AI-driven supply-chain products.
CTO at Freehand, responsible for scaling its engineering and agentic AI platforms. Before joining the company, Kumar spent three years at Apollo.io helping build and scale AI-native products and engineering systems. At Freehand he focuses on reliable autonomous agents, context graphs and high-stakes enterprise workflows.
Chief Revenue Officer at Freehand, leading go-to-market strategy, revenue and global customer engagement. He has more than 30 years of enterprise technology sales experience and previously held leadership roles at SourceDay, Aryaka Networks, Appian, Dell EMC and IBM, with a focus on scaling enterprise software businesses.
GlobeNewswire
Freehand raised $75 million in a Series B funding round co-led by Battery Ventures and NewRoad Capital Partners, with participation from PSP Growth, Nexus Venture Partners and others. The capital is intended to scale its autonomous AI agents for enterprise supply-chain spend management.
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Freehand announced that Gartner named it a representative vendor in the 2026 Market Guide for Freight Audit and Payment Providers. The company said its platform handles sourcing, negotiation, contracting, invoicing and payment workflows using autonomous AI Teams.
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Freehand officially launched at Manifest 2026 after emerging from stealth, introducing autonomous AI Teams for procure-to-pay, supplier collaboration and finance operations with deployments already running at large enterprises.
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