SWARM Engineering raises $10M Series A to bring domain-trained AI decisions to agrifood operations

SWARM Engineering, a decision intelligence company focused on agrifood and manufacturing, has closed a $10 million Series A funding round to expand its AI platform for operational decisions in supply chain, workforce and logistics management.

The oversubscribed round was co-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.

Unlike general-purpose AI platforms, SWARM’s software is built on a pre-loaded operational ontology — the decision logic, constraints and variable relationships specific to agrifood and manufacturing — rather than learning them from scratch on each customer’s data. The company says this lets it simulate hundreds of supply chain scenarios in minutes. One customer, Springs Window Fashions, reported cutting planning cycles by 40% and freeing working capital after deploying the platform.

The new capital will fund product development, commercial expansion and deeper integrations with ERP and supply chain systems. SWARM also announced that Jason Trusley, SVP and Chief Strategy Officer at Land O’Lakes, has joined its advisory board.

Shail Khiyara, CEO of SWARM Engineering, said the agrifood sector poses decision problems that generic AI cannot replicate because the domain knowledge — built over decades — is native to SWARM’s system. The company currently serves customers in the U.S., Latin America and Europe and has won AgTech Breakthrough awards in both 2024 and 2025.