SWARM Engineering

Swarm Engineering transforms uncertainty into smarter, faster decisions, optimizing supply chain, logistics, workforce planning, and demand forecasting with AI.

[SWARM Engineering @SWARMeng]

#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

[SWARM Engineering @SWARMeng]

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

[SWARM Engineering @SWARMeng]

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?

[SWARM Engineering @SWARMeng]

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.

[SWARM Engineering @SWARMeng]

The challenge isn't just moving goods. It's deciding how to move them under uncertainty. @ShailKhiyara nails it with insights from @BNSFRailway
#Grain #SupplyChain @NGFA

[Shail Khiyara @ShailKhiyara]

This morning in #Nashville, just outside the venue where #NGFA had brought together #CEOs, #COOs, and #operators from across the grain industry, I saw a sight I don't often get to see in #SanFrancisco.

@SWARMeng @NGFA #Grain

https://t.co/v1Ciws0hdX

[SWARM Engineering @SWARMeng]

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

[SWARM Engineering @SWARMeng]

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

[SWARM Engineering @SWARMeng]

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

[SWARM Engineering @SWARMeng]

Insights on the #GrainIndustry, #AI & margin pressures.

https://t.co/jF4L7Z7zNa

[SWARM Engineering @SWARMeng]

𝗪𝗵𝗲𝗻 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 𝗢𝘂𝘁𝗽𝗮𝗰𝗲𝘀 𝗧𝗿𝘂𝘀𝘁 𝗶𝗻 𝘁𝗵𝗲 𝗙𝗼𝗼𝗱 𝗦𝘆𝘀𝘁𝗲𝗺

𝘞𝘩𝘺 𝘨𝘭𝘺𝘱𝘩𝘰𝘴𝘢𝘵𝘦 𝘩𝘦𝘢𝘥𝘭𝘪𝘯𝘦𝘴 𝘳𝘦𝘷𝘦𝘢𝘭 𝘢 𝘥𝘦𝘦𝘱𝘦𝘳 𝘧𝘳𝘢𝘤𝘵𝘶𝘳𝘦 𝘣𝘦𝘵𝘸𝘦𝘦𝘯 𝘴𝘤𝘪𝘦𝘯𝘤𝘦, 𝘳𝘦𝘨𝘶𝘭𝘢𝘵𝘪𝘰𝘯, 𝘢𝘯𝘥 𝘱𝘶𝘣𝘭𝘪𝘤 𝘵𝘳𝘶𝘴𝘵 𝘪𝘯 𝘢𝘨𝘳𝘪𝘤𝘶𝘭𝘵𝘶𝘳𝘦.

The recent headlines about glyphosate residues in bread are not really about bread.

https://t.co/W31t9UaK0i

[SWARM Engineering @SWARMeng]

Beyond the Algorithm

https://t.co/tLJM3BuG2Q

[SWARM Engineering @SWARMeng]

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

[SWARM Engineering @SWARMeng]

𝗙𝗿𝗼𝗺 𝗦𝗺𝗮𝗿𝘁𝗲𝗿 𝗠𝗼𝗱𝗲𝗹𝘀 𝘁𝗼 𝗔𝗰𝗰𝗼𝘂𝗻𝘁𝗮𝗯𝗹𝗲 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀

a brief look into new models and SWARMs #decision_intelligence

https://t.co/y8WdlNGevD

[SWARM Engineering @SWARMeng]

Volatility does not kill margins.
Being slow to it does.

AVA neutralizes volatility before it becomes a problem.

https://t.co/KAHVhINIZq

[SWARM Engineering @SWARMeng]

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

[SWARM Engineering @SWARMeng]

Behind every algorithm is a human story.

Meet Jack Halliwill, one of the minds shaping SWARM’s decision intelligence.

His work turns chaos into choices that actually hold up in the real world.

https://t.co/GvAAA0Olno

[SWARM Engineering @SWARMeng]

From our #CEO.

𝗜𝗳 𝗬𝗼𝘂 𝗖𝗮𝗻’𝘁 𝗡𝗮𝗺𝗲 𝘁𝗵𝗲 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻, 𝗔𝗜 𝗪𝗼𝗻’𝘁 𝗦𝗮𝘃𝗲 𝗬𝗼𝘂

The question is not
“Is this optimal?”

The question is
“Does this hold up when reality shows up?”

Most AI systems collapse when volatility enters the room.

https://t.co/0T1bGOeCpq

[SWARM Engineering @SWARMeng]

Spreadsheets are familiar.
But familiarity is not a strategy.

In volatile markets, manual tools create a false sense of control until reality hits.

That is the Spreadsheet Trap.

https://t.co/toIywpZUKs

[SWARM Engineering @SWARMeng]

𝗪𝗵𝘆 𝘁𝗵𝗲 𝗕𝗲𝘀𝘁 𝗖𝗿𝗼𝗽 𝗶𝗻 𝗮 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 𝗜𝘀 𝗕𝗿𝗲𝗮𝗸𝗶𝗻𝗴 𝗔𝗺𝗲𝗿𝗶𝗰𝗮’𝘀 𝗙𝗮𝗿𝗺 𝗘𝗰𝗼𝗻𝗼𝗺𝘆 - from our #CEO @ShailKhiyara

Explore what happens when abundance becomes fragility, why digital twins are important and why the next revolution in food, business, and AI won’t come from more data - but from how we reason through it.

https://t.co/Lw96n4F5hl