#GEAPS2026 wasn’t about AI hype. It was about margin discipline in a volatile grain system.
Grading precision. Infrastructure limits. Decision velocity.
In grain, small inconsistencies compound fast. At SWARM, we scale operator judgment so better decisions happen under pressure.
https://t.co/v62xE4MtRU
#GrainIndustry #DecisionIntelligence
Most #AI conversations in food and ag still start #generativeAI or a model. The ones worth having start with the decision.
Over the next 2 weeks the SWARM team will be in 2 rooms where those conversations are happening. This week, October 27-28, we’re at Reuters Events Food & Agriculture - Transform Food & Agriculture USA in Minneapolis.
Next week, November 2-3, we’re at the American Food Manufacturing Summit in Chicago.
We keep hearing the same thing from leaders across agrifood: data isn’t the bottleneck anymore. The bottleneck is the time between knowing something and acting on it while it still matters. Margin leaks out of the business in that gap, a little at a time, and nobody sees it on a dashboard. SWARM was built to close that gap.
If you’ll be in #Minneapolis or #Chicago, come find us and bring the one decision you wish you could make faster.
#TransformFoodAg #FoodMfgUS26 #DecisionIntelligence #Agrifood #FoodManufacturing
Decision latency has a price. Sometimes it's dollars. Sometimes it's an audit.
On July 15, @SWARMeng Pulse comes to #Lincoln, #Nebraska with @AgTechConnect Conference. A small room of #grain, #milling, and #supplychain operators, no slide decks, just the decisions actually costing margin and what's working versus what's hype in AI right now.
If you run an operation in the region, reach out: [email protected]
Been to the Golden Triangle three times this year. One conversation still sits with me.
A 25,000-bushel short sat in the books for weeks before anyone caught it. By the time it surfaced: a $125K write-off with someone's name on the investigation.
@USDA doesn't care the systems weren't talking to each other. They care the numbers didn't match.
Decision latency isn't a tech problem. It's the gap between knowing and acting. In this business, that gap has a price, sometimes in dollars, sometimes in an audit.
July 15, we're bringing @SWARMeng Pulse to #Lincoln, #Nebraska with @AgTechConnect . Small room, no slide decks, just the decisions actually costing margin.
Run ops in the region? DM me or reach out to [email protected]
https://t.co/45o8zoxIyK
We made a video about a cotton operation and the decision architecture gap it was running into. The problem isn't specific to cotton, it's the condition of every agrifood commodity operation running on disconnected systems and batch update cycles.
The data is there. The timing is wrong an the decision cannot wait.
In #cotton, that gap costs you when the price window closes before your inventory position is confirmed. In grain, when the spot market moves faster than your scheduling cycle. In feed, when the formulation decision runs on yesterday's ingredient costs.
Watch the video. If you recognize your operation in it, send us a message.
https://t.co/gZqEiiAd14
The compliance update landed Friday.
Production found out Tuesday.
The cost was already in the schedule.
Four days. Three active production runs affected. Materials staged. Customer window locked. Team absorbed it in overtime and expedited sourcing.
Nothing on the risk log. Nothing flagged as an incident.
Just the week.
Compliance latency is the most consistent and least discussed cost in food processing. Not because teams are careless. Because there's no automated bridge between when a regulation changes and when the operation knows to act.
How does your operation find out?
In agrifood, compliance doesn't break because teams miss regulations.
It breaks because they see them too late.
A change publishes. It moves through email digests, consultant queues, review cycles. By the time it reaches the operation, production has already moved.
That gap is measured in days. That's where avoidable cost accumulates.
SWARM AVA monitors your regulatory environment continuously and surfaces changes the moment they happen - with operational context already attached.
Not a general alert. A specific signal: what changed, which production run is affected, what decision needs to be made. The compliance team still owns the review. What changes is everything before it.
Gap shrinks from days to hours.
Already live inside the #AAFCO Member Portal. Deployed in feed manufacturing and food processing operations.
If your compliance process still runs on scheduled review cycles, the question isn't whether there's delay.
It's how much it's costing you.
Resilience Isn’t About Absorbing Shocks Anymore, It’s About Outpacing Them
For years, “#resilience” in #supplychains meant the ability to take a hit and keep moving. But 2026 has rewritten the definition.
Across agrifood and industrial operations, volatility is no longer episodic it’s structural. Climate disruptions, fragmented trade routes, labor shortages, tariff swings, and transportation bottlenecks aren’t anomalies; they’re the operating environment.
https://t.co/fvQoFz2b7A
from our #CEO@ShailKhiyara
Prediction is not a decision.
For the past few years, enterprise AI has been obsessed with prediction. Every board deck celebrates forecast accuracy. Demand models get tuned to the second decimal point. Teams argue over whether the signal is 91 percent or 93 percent accurate, as if those two points determine survival.
https://t.co/zyOsTEcl1D
𝟮𝟬𝟮𝟲 𝗶𝘀 𝘁𝗵𝗲 𝘆𝗲𝗮𝗿 𝗮𝗴𝗿𝗶𝗳𝗼𝗼𝗱 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 𝗺𝗼𝘃𝗲 𝗯𝗲𝘆𝗼𝗻𝗱 𝘃𝗶𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆 𝘁𝗼 𝘁𝗼𝘁𝗮𝗹 𝗼𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻.
Predicting the future isn't enough when your margins are at stake. In 2026, the industry leaders aren't just watching data, they are using it to 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗲 𝗲𝘃𝗲𝗿𝘆 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻 in real time.
https://t.co/UvqJWWZ6Fu
𝗘𝘃𝗲𝗿𝘆 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻 𝗵𝗮𝘀 𝗮 𝗯𝗿𝗲𝗮𝗸𝗶𝗻𝗴 𝗽𝗼𝗶𝗻𝘁. 𝗦𝗪𝗔𝗥𝗠 𝗘𝗡𝗚𝗜𝗡𝗘 𝗺𝗮𝗸𝗲𝘀 𝘀𝘂𝗿𝗲 𝘆𝗼𝘂 𝗻𝗲𝘃𝗲𝗿 𝗿𝗲𝗮𝗰𝗵 𝗶𝘁.
SWARM’s Agentic AI optimization engine turns multi-variable chaos into decisions that move at the speed of volatility.
An operating system for #AgriFood resilience.
#DecisionIntelligence #Optimization #SupplyChain #OperationalResilience
https://t.co/xHsA1ht97O
Margins rarely disappear all at once.
They leak through
micro-delays,
hidden errors,
and decisions made on yesterday’s numbers.
That is how profitability actually dies.
https://t.co/DPzNYXG6OZ