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By Staff Writer, Global AgInvesting Media
SWARM Engineering, a decision intelligence company for the agrifood and manufacturing sectors, has successfully raised $10 million in an oversubscribed Series A funding round. Co-led by S2G Investments and AgRogue Growth Partners, with participation from Radicle Growth and Grit Road Partners, the capital injection aims to accelerate SWARM’s mission to transform operational decisions with AI, delivering optimization across supply chain, workforce and logistics.
“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,” Mike Wise, Principal at S2G Investments, said in the press release.
Kirk Haney, Managing Partner at Radicle Growth, echoed this, saying,”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 [Khiyara, CEO of SWARM] brings the kind of operator credibility this industry demands and rarely gets from an AI company. That is why we co-led this round.”
Driving ROI Amid Supply Chain Volatility
Industrial operations face daily pressures from fluctuating trade routes, volatile labor pools, and rising transportation costs. While legacy systems struggle to adapt dynamically, SWARM’s platform relies on domain-trained AI agents and optimization algorithms that replicate the specific decision logic and constraints of the manufacturing and agricultural fields.
SWARM’s operational AI leverages a purpose-built industrial ontology that ingests real-time data to run thousands of scenarios simultaneously. It should allows operators to model shifts in logistics, inventory and workforce scheduling in minutes rather than days.
The immediate business impacts would be substantial:
- Faster Decisions: Planning cycles that traditionally took days are compressed by up to 40%.
- Capital Efficiency: Operations leaders can rapidly surface hidden or trapped working capital within multi-site inventory systems.
- Cross-Functional Visibility: Disconnected legacy data is unified, replacing manual, reactive spreadsheet workarounds with proactive insights.
“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, Springs Window Fashions, a global manufacturer of custom window treatments with more than 9,000 employees and brands including Bali, Graber, and Horizons, in the press release.
Experienced Leadership & Strategic Growth
SWARM is led by a veteran executive team with deep backgrounds in industrial optimization and artificial intelligence hailing from Microsoft, Palantir, Google, and UiPath.
To further align its tech stack with market needs, the company also announced that Jason Trusley, Senior Vice President and Chief Strategy Officer at Land O’Lakes, Inc., has joined its Advisory Board. Trusley brings massive enterprise strategy footprint from the U.S. agrifood cooperative ecosystem.
“In agrifood and manufacturing, every operational decision has a downstream consequence,” said Khiyara. “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.”
What’s Next
The newly secured funding will be immediately funneled into expanding SWARM’s operational AI product roadmap, growing its go-to-market footprint, and deepening native integrations into leading enterprise resource planning (ERP) and warehouse management systems (WMS).
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