Key Takeaways
- SWARM Engineering has raised $10 million in an oversubscribed Series A round 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.
- The company develops domain-trained AI agents and optimisation algorithms built on the operational ontology of agrifood and manufacturing industries, covering supply chain, workforce, and logistics decisions.
- Jason Trusley, SVP and Chief Strategy Officer at Land O'Lakes, Inc., has joined the SWARM Advisory Board.
- A customer case study from Springs Window Fashions cited a 40% reduction in planning cycles and freed-up working capital following SWARM deployment.
- SWARM has been recognised by AgTech Breakthrough as a back-to-back award winner in 2024 and 2025 and is led by veterans from Microsoft, Palantir, Google, and UiPath.
SWARM Engineering Raises $10M Series A to Scale Decision Intelligence for Agrifood
SWARM Engineering, a decision intelligence company focused on agrifood and manufacturing, has closed a $10 million oversubscribed Series A funding round. The round was co-led by S2G Investments and AgRogue Growth Partners, with additional participation from Radicle Growth, Grit Road Partners, Middleland Capital, Open Prairie, Serra Ventures, and Trailhead Capital. The capital will be used to expand SWARM's AI roadmap, scale go-to-market operations, and deepen integrations with leading ERP and supply chain platforms.
SWARM's platform combines intelligent agents and optimisation algorithms into a unified system built on what the company describes as the operational ontology of agrifood and manufacturing — the domain-specific decision logic, constraints, and variable relationships that govern how these industries actually operate. The system ingests real-time data, preserves institutional knowledge, and runs scenario analysis across thousands of variables in minutes. The company is led by veterans from Microsoft, Palantir, Google, and UiPath, with deep backgrounds in agentic AI, optimisation, and industrial operations. This raises SWARM's profile within the AI in agrifood sector.
“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. That domain knowledge is native, not acquired, and that's not something generic AI can replicate,” said Shail Khiyara, CEO of SWARM Engineering.
Why Domain-Trained AI Matters in Agrifood Operations
SWARM's thesis is that agrifood and manufacturing companies have been underserved by generic enterprise AI platforms that were not built around the specific decision structures of these industries. Trade lane disruptions, volatile input costs, labour pressures, and compressed margins have accelerated demand for operational AI that can simulate complex scenarios and compress multi-day planning cycles into minutes. The company's customers can gain cross-functional visibility and run hundreds of logistics and supply chain scenarios in a fraction of the time previously required by legacy planning tools.
Springs Window Fashions, a global manufacturer of custom window treatments with more than 9,000 employees, described the impact of SWARM deployment on its multi-site manufacturing operation.
“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%. That is what domain-trained AI looks like in a manufacturing environment,” said Oscar Bolaños, COO of Springs Window Fashions.
Investor Conviction and Advisory Board Addition
Both lead investors highlighted SWARM's industry-specific depth as the key differentiator driving their decision to back the round.
“Most AI platforms are built for generic problems. Agrifood and manufacturing don't have generic problems. 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,” said Mike Wise, Principal at S2G Investments.
“Agrifood has been underserved by technology for decades. SWARM is the first company we have seen that truly understands how operational decisions get made in this industry, at the field level, the facility level, and the network level. Shail brings the kind of operator credibility this industry demands and rarely gets from an AI company. That is why we co-led this round,” said Kirk Haney, Managing Partner at Radicle Growth.
Alongside the funding announcement, SWARM confirmed that Jason Trusley, SVP and Chief Strategy Officer at Land O'Lakes, Inc., has joined its Advisory Board, bringing enterprise strategy experience and broad exposure to the U.S. cooperative and agrifood ecosystem. SWARM has been recognised by AgTech Breakthrough as a back-to-back award winner in both 2024 and 2025, and the new capital is expected to further accelerate its expansion across North American agrifood supply chain operations.
