A design-partner pilot
One line, one number, shadow mode first.
Contact
Start with the line that is costing you the most.
The most useful first conversation is about one line, one product family and one measurable problem. Tell us which, and we will tell you what shadow mode would need and what it would baseline.
Illustrative scenario: Plant run · skim-milk-powder line + set-yogurt line · shared intake. Not a measured run.
Contact
Tell us about your line
The form opens your mail client with the message addressed to hello@milkeon.com. Nothing is stored on this site.
Routes
- Design partners
- hello@milkeon.com
- Partnerships
- hello@milkeon.com
- Careers
- hello@milkeon.com
- Security pack
- hello@milkeon.com
One mailbox while the team is small. Named addresses follow as people join publicly.
What to include
- The line and the products it runs
- The systems on it: PLC and SCADA, analyzers, lab, MES, cameras
- The number you would baseline
- Who would approve a pilot
Reasons
Why people get in touch
A partnership
OEMs, MES, analyzer and vision suppliers who sell into dairy plants.
The security pack
Design posture, data flows and roadmap dates.
A role
Perception, OT integration, simulation or dairy process.
Run timeline
What we would be deploying
Every Milkeon run is an ordered, inspectable sequence. This is run_scn_01, an illustrative scenario: Plant run · skim-milk-powder line + set-yogurt line · shared intake. Scenario complete · both streams inside spec · one human approval at the dryer.
run_scn_01
scenario · not measured
SUCCEEDED
-
01
intake.receive
SUCCEEDED
0.9 s
Plant Orchestrator · Pulled both product specs, the HACCP plan with its pasteurization critical control point, the antibiotic screen for the tanker lot and the standing CIP window from MES and the lab system; locked the target envelope for the run.
-
02
twin.simulate
SUCCEEDED
41 s
Plant Orchestrator · Simulated 24 candidate recipes across separation, pasteurization, evaporation and spray-drying on the Lactwin as-processed twin; ranked them on composition margin, pasteurization margin, energy per kilogram of powder and takt, and discarded every candidate that thinned the pasteurization margin.
-
03
separate.standardize
SUCCEEDED
3 m 05 s
Intake-and-Separate · Fused inline NIR and mid-IR with the latest lab calibration, then trimmed the cream-skim split and the standardization blend valve so skim solids and the yogurt-stream fat sat at target with the minimum safe margin rather than the usual over-standardization.
-
04
pasteurize.verify
SUCCEEDED
continuous
Pasteurize-and-Homogenize · Held HTST at or above 72 °C for 15 s through the holding tube with the flow-diversion valve armed; every critical control point reading was written to the audit log against the HACCP plan.
-
05
culture.vat
SUCCEEDED
4 h 20 m
Ferment-and-Culture · Predicted the acidification curve for the culture lot from inline pH and the upstream composition, held the vat temperature profile and timed the hold so pH landed on the set-yogurt target curve; no abnormal acidification was flagged.
-
06
dry.spray
SUCCEEDED
2 h 10 m
Evaporate-and-Dry · Ran the dryer against the twin's moisture and stickiness prediction; stepped inlet temperature and feed solids toward the minimum-energy setpoint while predicted outlet moisture stayed inside spec and fouling risk stayed low.
-
07
inspect.pack
SUCCEEDED
continuous
Defect-and-Inspect · 16 camera streams across the two packing lines at the plant edge: fill, seal, cap and label checks on every unit, foreign-body and contamination models on the powder stream; two rejects were attributed back to a seal-jaw temperature drift and the packing line was notified.
-
08
cip.schedule
SUCCEEDED
6 s
Hygiene-and-CIP · Placed the pasteurizer and dryer CIP into the cheapest energy window, sequenced wash phases against tank availability and set the release checks that must pass before the next product.
-
09
approve.human
APPROVAL
1 m 48 s
Plant Orchestrator · The twin's lowest-energy candidate wanted a dryer inlet temperature above the site's bounded envelope. Held for the shift dairy technologist, who approved the step with a tighter outlet-moisture alarm.
-
10
release.genealogy
SUCCEEDED
1 m 12 s
Quality-and-Conformance · Both batches released: composition, CCP records, culture lot and pH curve, drying setpoints, inspection rejects and every human decision written to the batch genealogy and checked against spec.
First phase
What an engagement looks like
Gates, not dates. Each stage starts when the previous one has proven its number against your own baseline.
- Design partners. Three to five processors instrument the wedge workflow in shadow mode. We measure the baseline on yield, loss and energy from your own lab and meters.
- Assist mode. The agent recommends separation, pasteurization or drying moves and predicts composition and contamination; your engineer approves. Accuracy and ROI are proven against the baseline.
- Graduated autonomy. Low-risk separation, drying and inspection loops move to bounded automatic control with adaptive setpoints. Exceptions escalate to a person.
- Expansion. Adjacent modules are added within the same plant, then across sites.
Pricing
Priced per line, per plant, per group
Land on one workflow with a measured baseline. Expand by line, module, site and autonomy stage. Outcome components available on yield, loss, energy and water.
Separation, pasteurization or drying control, or inspection AI, for one line. For processors validating ROI on the wedge.
- One line, one agent module
- Plant-edge inference node
- Connectors to the line's PLC/SCADA, analyzers and MES
- Review console, alerting, audit log and genealogy
- Shadow and assist stages, then bounded autonomy after the agreed gates
The whole plant: intake and separation, pasteurization and homogenization, fermentation, evaporation and drying, inspection, quality and shelf life, yield and takt, hygiene and CIP, and the Lactwin twin.
- All nine agents and the orchestrator
- Lactwin as-processed twin: recipe before the run
- Defect-to-cause feedback across the plant
- Energy, water and CIP optimization
- Whole-plant batch genealogy
Dairy groups standardizing on Milkeon across sites, with custom product, composition and tolerance models.
- Multi-site plant-edge fleet
- Custom product, composition and tolerance models
- SLAs and dedicated support
- Outcome-based components on yield, loss, energy and water
- On-prem or private-cloud deployment
A 15 to 20% discount for annual prepayment.
Enterprise agreements with usage ramps.
A share of measured yield, loss, energy or water improvement on the highest-value workflows.
Per-batch, per-line or per-action metering above plan limits.
Enterprise
Standardize autonomy across the group
One policy model, one audit trail and one set of yield, loss, energy and water benchmarks across every plant in the group, with each site's recipes and tolerance models kept private to that site.
- Multi-site plant-edge fleet with shared model governance
- Custom product, composition and tolerance models per site
- SSO and role-based access, named approvers (roadmap, 6 to 12 months)
- Model versioning, validation reports and rollback
- On-prem or private-cloud deployment
- SLAs and outcome-based components on the highest-value workflows
Guardrails
An agent that can move a setpoint needs a leash
Milkeon writes to production equipment in a food plant. Every capability is scoped, every write is policy-checked, every output is cited, and every action is written to an append-only audit log the plant owns.
- Bounded action space. Each agent can only write to an explicit tag allow-list, inside per-tag rate and magnitude limits, at the autonomy stage the plant has set.
- Critical control points are read, never written. Pasteurization time-temperature, flow diversion and release decisions stay with the HACCP plan and the people who own it.
- Policy engine before every write. Autonomy stage, interlock state, product, shift and operator presence are evaluated before a setpoint moves.
- Grounded and cited. Every recommendation carries a citation to the recipe, spec or procedure it relied on. Retrieval is tenant-isolated and permission-aware.
- Immutable audit log. Append-only, exportable and retained on the plant's own storage, aligned to HACCP, FSMA, ISO 22000 and FSSC record-keeping.
- Hard fallback. If the edge node, the network or a model stops, the plant keeps running on its existing PLC and SCADA control and interlocks.
- Tenant and IP isolation. Recipes, supplier data and tolerance models never cross a customer boundary. On-prem deployment available.
Assurance posture
| Item | Scope | Status |
|---|---|---|
| SOC 2 Type I | Cloud control plane | QUEUED Roadmap, first 6 months |
| SOC 2 Type II | Cloud control plane | QUEUED Roadmap, 6 to 12 months |
| HACCP · FSMA · ISO 22000 · FSSC · Codex | Grounding and record-keeping | RUNNING Design basis for retrieval and the audit log |
| Per-tenant isolation | Data, memory, models | RUNNING Design rule |
| On-prem deployment | Recipe-sensitive producers | RUNNING Design option |
Milkeon supports your food-safety records. It is not a certification and it does not replace your HACCP plan.
From the plant floor
Who this is built for
The three people in a dairy plant whose week changes when the process runs itself, and what each of them needs from Milkeon.
Plant or Operations Director
Owns production rate, quality, loss and yield, energy and water, and food safety. Wants a plant that holds spec at higher rate with fewer interventions, and a number that justifies the spend.
Dairy Technologist or Process Engineer
Owns separation and standardization, pasteurization, culture and drying recipes, process windows and yield. Approves and corrects the agents in assist mode; those corrections train the models.
Quality and Food-Safety Manager
Owns HACCP, FSMA, ISO 22000 and FSSC conformance, composition and contamination conformance, and batch genealogy. Needs every action grounded, cited and written to an immutable record.
IT/OT and sustainability leads approve the deployment. There are no customer quotes on this site yet; design partners will speak for themselves when they choose to.
Integrations
It speaks plant, not cloud
Milkeon reads and writes through the systems already on the floor. No parallel historian, no new HMI, no rip-and-replace. Connectors are built against each design partner's stack first; long-tail integrations are out of scope for the first release.
PLC and SCADA of separators, pasteurizers, homogenizers, culture vats, evaporators, spray dryers and CIP skids
Setpoint reads, guarded writes, interlocks untouched
NIR and mid-IR composition, inline pH, moisture, temperature and humidity
Continuous composition and process state
LIMS results, calibrations, antibiotic and micro screens
Calibration and release evidence
Orders, recipes, product specs, batch genealogy
Targets in, release records out
Multi-camera stations on filling, sealing, capping, labeling and powder lines
Frames, defect events, reject commands
Plant and asset-level meters
Hard constraints for the dryer and CIP schedule
Isaac-driven packaging, palletizing and handling cells
Perception and motion for packs and pallets
SSO and role-based access; SOC 2 on the roadmap
Named approvers, scoped roles
FAQ
Straight answers
The questions plant directors, technologists and quality managers ask in the first meeting.
Only at the autonomy stage your plant has set, and only to an explicit allow-list of low-risk loops inside explicit limits. Every design partner starts in shadow mode, where Milkeon predicts and writes nothing. Assist mode follows, where a technologist approves each recommendation. Bounded autonomy on separation, drying and inspection loops comes after the food-safety and ROI gates agreed up front.
Critical control points are not optimization variables. The pasteurization CCP, the flow-diversion interlock and release decisions stay with your HACCP plan and your people. Milkeon verifies readings, writes them to an immutable audit log and attaches them to the batch genealogy. It supports HACCP, FSMA, ISO 22000 and FSSC records; it is not a certification and does not replace your plan.
Milkeon sits above your existing automation as a supervisory layer. If it stops, the plant keeps running on its current PLC and SCADA control and the interlocks it already has. A Milkeon outage degrades the plant to the way it runs today, not to a stop.
The first phase is shadow mode on one line: Milkeon reads your analyzers, PLC history, lab results and MES while you run the plant as usual, and we measure its predictions against your lab. Recommendations start when accuracy is proven against that baseline, and improve as plant-specific history and technologist corrections accumulate.
Recipes, product specs, tolerance models and supplier data are tenant-scoped and never used to train another customer's models. Retrieval is multi-tenant isolated and permission-aware. On-prem deployment is available for processors protecting sensitive recipes.
You are, the same as with any control strategy. That is why every write is policy-checked, bounded, logged and reversible, every output carries a citation to the recipe or procedure it relied on, and anything above your threshold waits for a named approver. The audit log records the request, the reasoning, the limits applied and the human decision.
As a design partner, on one line, with one hard metric: fat or protein give-away, energy per kilogram of powder, moisture or composition variance, or contamination escapes. We instrument the line in shadow mode, measure the baseline, move to assist mode when accuracy is proven, and expand only when the number holds.
Full multi-module autonomy across the whole plant, long-tail integrations beyond the design partners' stacks, and self-serve onboarding. The first release is one wedge workflow, its connectors, the agent loop with human checkpoints, the review console and the food-safety audit log.
Get started
Or just send the line
A sentence about the line and the number is enough to start.