Agrifood AI specialist SWARM has secured $10 million in fresh funding as manufacturers seek smarter ways to navigate supply chain volatility.
As agrifood businesses contend with supply chain disruption, rising costs and growing operational complexity, SWARM Engineering has secured $10 million (£7.4 million) in an oversubscribed Series A funding round to expand its AI-powered decision intelligence platform.
The round was led by S2G Investments and AgRogue Growth Partners, with participation from Radicle Growth, Grit Road Partners, Middleland Capital, Open Prairie, Serra Ventures and Trailhead Capital. SWARM said it will use the funding to accelerate product development, expand commercial operations and strengthen integrations with ERP and supply chain systems.
The funding comes as agrifood businesses face mounting pressure to respond to supply chain disruption, rising costs and labour volatility. With margins under strain, manufacturers are increasingly looking for tools that can help them make faster, more informed operational decisions.
In agrifood and manufacturing, every operational decision has a downstream consequence. Most AI platforms learn your business over time. SWARM is different because it’s built on the ontology of these industries - the decision logic, the constraints, the relationships between variables that can take decades to accumulate.”
Shail Khiyara, CEO of SWARM Engineering
Industry pressures drive AI adoption
Unlike general-purpose AI platforms, SWARM focuses specifically on agrifood and manufacturing operations. Its technology combines AI agents and optimisation algorithms to analyse real-time operational data, model complex scenarios and support decisions across supply chains, logistics and workforce planning.
The company says customers can test hundreds of supply chain scenarios in minutes rather than days. One customer, Springs Window Fashions, reported a 40 percent reduction in planning cycles after implementing the platform, while also freeing up working capital tied to inventory decisions.
“In agrifood and manufacturing, every operational decision has a downstream consequence. Most AI platforms learn your business over time. SWARM is different because it’s built on the ontology of these industries - the decision logic, the constraints, the relationships between variables that can take decades to accumulate,” said Shail Khiyara, CEO of SWARM Engineering. “That domain knowledge is native, not acquired, and that’s not something generic AI can replicate.”
Oscar Bolaños, COO of Springs Window Fashions, added: “We run a complex multi-site manufacturing operation where inventory decisions have real financial consequences. SWARM didn’t just improve our planning process, it changed what’s possible. We freed up working capital we didn’t know we had and cut planning cycles by 40 percent. That is what domain-trained AI looks like in a manufacturing environment.”
Backing future growth
Alongside the funding announcement, SWARM appointed Jason Trusley, Senior Vice President and Chief Strategy Officer at Land O’Lakes, Inc., to its Advisory Board. The company said the appointment will help strengthen its presence across the agrifood sector as it expands its customer base.
Investors pointed to SWARM’s industry-specific approach as a key differentiator in a crowded AI market.
“Most AI platforms are built for generic problems. Agrifood and manufacturing don’t have generic problems,” said Mike Wise, Principal at S2G Investments. “Co-leading this round reflects our conviction in the platform SWARM is building and the management team behind it, one with the domain depth and enterprise-grade foundation to become a defining player in how these industries operate.”
SWARM plans to use the new funding to expand its decision intelligence capabilities into additional agrifood and manufacturing applications, as companies continue to seek ways to improve efficiency, resilience and visibility across increasingly complex supply chains.
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