The solutions are on the line. So are we.

Real operational improvements happen at the extruders, check-weighers, and fillers. The work of food and beverage process automation requires engaging operators who know exactly when and how things break down. That’s where we’ll meet you, in hairnets and smocks. We connect everything your system is already recording — oven times, fill weights, temperatures — and turn it into the intelligence that keeps the line running. Don’t spend another production cycle sweating downtime, waste, and contamination. Let us cook.

Talk food and beverage with an Insider

Transformation Proven at Scale

50% +

product waste reduction at a single facility

~75%

reduction in destructive sample testing

100k lbs

annual product previously lost to sampling, revealed at one plant

4 lbs/100

giveaway found and prevented in packaged product

$1M +

saved per year at a single facility

Solving problems without stalling production.

Quality, throughput, and margin in food and beverage production are decided in minutes. An issue in one shift compounds after wash-down for the next. In an industry where quality is just as important as quantity, we solve problems while production keeps running.

The data that explains giveaways and scrap already exists. It’s trapped inside check-weighers, cryovacs, kitchen systems, historians, and that clipboard at the end of the line. GrayMatter connects it so your crew can act while the batch is still running. At one food manufacturer, operators now get an hour or more of warning before a quality measure drifts out of spec.

Explore Brilliant Operations

The default AI plan automates first, then tells the floor. We build AI systems to be trusted. In food and beverage process automation, human knowledge and experience guides our approach. GrayMatter starts with a recommendation model instead of immediate automation — systems surface data, operators verify and act, and autonomy on the line only proceeds when the floor feels comfortable.

Explore Approachable AI

In most food and beverage plants, leaders who can spot efficiencies can be siloed from the data. And often, operators don’t feel they have a direct line to leadership to suggest improvement. So the same losses run shift after shift. At one specialty food producer, decision-making had sat with a few key leaders. Once people at every level had connected tools, they could spot efficiency opportunities that had gone unnoticed.

Explore Factory Advisors

A successful pilot at a single facility doesn’t automatically translate across a multi-plant network. Different SKUs, regional ingredients, product variances — GrayMatter builds a deliberate proof-of-value framework so that the first success becomes a model the next site can easily adapt.

Explore Brilliant Operations

Raw ingredients to shelf-ready pack

A pet food line and a dough line don’t fail the same way. GrayMatter’s work in each subsector starts with the food processing automation equipment already on your floor, from extruders and ovens to fillers and check-weighers, and the sanitation, allergen and traceability requirements they run under.

Pet food & animal nutrition

Digital twins and advanced industrial analytics for scrap reduction, first-pass quality, and product-overfill reduction across pet food and animal nutrition production lines.

Ready-to-eat & prepared foods

Quality tracking that replaced paper and extrusion process stabilization for dough, sandwich, and other prepared-food production lines.

Beverage

Production visibility and quality analytics built for beverage manufacturing lines.

Crop-based

Process and packaging support for manufacturers working with agricultural and crop-based inputs.

Packaging & equipment ecosystem

Equipment-level analytics for adhesive-dispensing and packaging-line machinery, extending expertise into the broader food and beverage packaging supply chain.

Why GrayMatter

Most improvement plans get written far from the line and handed to the crew that has to run them. You don’t have to translate yours. GrayMatter’s food and beverage teams are Thinkers and Doers, and the people who design your AI roadmap are the people at the extrusion line making sure the model earns your operators’ trust.

It shows up in the small moments, too — a GrayMatter engineer’s answer to why paper-based tracking wasn’t enough: “Last time I checked, paper does not tell you anything. It doesn’t yell at you and say, ‘Hey, by the way, you may have a problem.’ The system does that.”

“GrayMatter and Velotic were here every day out on the floor — beard net, hair net, smock, sitting there with their tablet, making sure everything’s running right.”

— Cody Plane, Production Supervisor, Papa Johns

Customer Success Stories

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Industry Insight
The Force Multiplier Effect: Why Food & Beverage Manufacturers Must Integrate Factory and Digital Transformation

The force multiplier effect: Why food & beverage manufacturers must integrate factory and digital transformation

GrayMatter’s central argument: operational excellence and digital transformation fail separately and succeed together. The piece lays out a four-stage maturity model — Operational Improvement, Digital Visibility, Connected Operations, Integrated Transformation — showing how disconnected efforts turn technology into “an expensive reporting tool rather than a performance driver.”

Read the article (opens in a new tab)

Bring us the problems you’ve learned to live with.

Maybe it’s giveaway you’ve budgeted for since the line started, or a pilot that never left its first plant. Neither has to be the cost of running a food plant. Talk it through with someone who has worked lines like yours.

Talk with a food and beverage Insider

FAQs

No. GrayMatter’s food processing automation work connects to the historians and sensors you already run. You don’t have to start over to move forward. Work typically starts with a focused pilot on one line and scales once it has proven its value.

By starting with recommendations instead of automation. Operators see what the system suggests and verify every adjustment themselves. Control becomes more autonomous only after the floor has watched the system get it right.

We typically start with a single plant and a focused use case, prove the value, and then build a repeatable model to expand across facilities.

Yes. In one packaging engagement, standardized processes and equipment upgrades drove a 7% overall throughput increase and hundreds of thousands of dollars in annual savings.

Our tools are built to flag out-of-spec conditions before they become compliance events, and to give teams the batch- and process-level visibility auditors expect.

Connecting the equipment and systems already on your lines, digital twins, predictive quality models, AI recommendation models, and equipment-level analytics for packaging machinery. Work spans pet food, ready-to-eat and prepared foods, and packaging.