SWARM, a Irvine, CA-based decision intelligence platform for agrifood and manufacturing operations, has raised $10M in Series A funding led by S2G Investments and AgRogue Growth Partners. The platform uses domain-trained AI agents (AVA) and an optimization engine (ENGINE) that layer onto existing ERP and WMS systems to deliver real-time decisions on production, labor, logistics, and compliance without code changes. The capital will support AI roadmap expansion, go-to-market efforts, and additional ERP integrations.
Agentic AI Demand Fuels AgriFood Funding
The timing comes amid accelerating adoption of agentic AI for industrial operations and policy support for agricultural intelligence. The USDA's 2025-2026 AI Strategy promotes predictive analytics and automation in agriculture. SWARM's approach — domain-trained agents that integrate in weeks rather than months — addresses the gap between generic AI platforms and specialized agrifood needs.
Supply Chain Volatility Exposes Planning Gaps
Operations teams in grain, poultry, and food processing face rapid shifts in supply, labor shortages, and regulatory demands that overwhelm spreadsheet-based planning. Current solutions require heavy IT overhauls or fail to adapt in real time, leaving margins exposed to volatility.
Domain-Trained Agents Close Decision Latency
SWARM built AVA as an always-on operational agent and ENGINE as the optimization core that ingests real-time signals across thousands of variables. Unlike broader platforms, the system arrives with agrifood ontology pre-trained and plugs directly into legacy systems. A customer at Springs Window Fashions reported a 40% reduction in planning cycles after deployment.
As Shail Khiyara, CEO, noted:
"Domain knowledge is native, not acquired."
AgTech Specialists Lead Oversubscribed Round
S2G Investments led the round alongside AgRogue Growth Partners, with participation from Radicle Growth, Grit Road Partners, Middleland Capital, Open Prairie, Serra Ventures, and Trailhead Capital. The syndicate brings direct agribusiness networks and operational expertise that align with SWARM's vertical focus, signaling conviction in domain-specific AI over generalist tools.
AI Supply Chain Market Expands Rapidly
The AI supply chain market is projected to grow from $7.67B in 2025 to $44.7B by 2031 at a 34.12% CAGR. Broader competitors such as o9 Solutions, RELEX Solutions, Optilogic, and Dataiku target enterprise planning, yet SWARM differentiates through immediate, no-rip-and-replace deployment tailored to regulated agrifood processes.
Concrete Deployment Plans Drive Next Phase
With the new capital, SWARM will expand AI capabilities and ERP integrations while scaling go-to-market. The company already embedded AVA in the AAFCO Member Portal for 2,500+ regulatory users and maintains an open Head of Product role to accelerate product development.