Machine builders
Loom, knitting, jet and stenter OEMs embedding Yarneon control alongside their own HMIs.
Partners
Autonomy is a supply chain, not a product
The machine builder, the integrator, the chemistry supplier and the buyer all have to agree before a mill changes how it runs. We build with all four.
Partner types
Six ways to work with us
Systems integrators
Automation integrators deploying mill-edge appliances, cameras and robotics on the floor.
Colour & lab vendors
Spectrophotometer and colour-library vendors whose data makes recipe prediction sharper.
Compute & silicon
NVIDIA Inception and accelerated-computing partners for edge, training and simulation.
Sustainability programmes
ZDHC, Higg and OEKO-TEX aligned programmes consuming Yarneon utility and chemistry data.
Buyers & brands
Apparel and home brands who want the conformance record their mills cannot produce today.
Accelerated computing
Physical AI needs real compute, at the machine
Line-speed vision, spectral colour science and a fabric-line twin are GPU-essential workloads. Yarneon runs them at the mill edge and trains them centrally.
| Component | Role in the mill |
|---|---|
| Isaac + Jetson | Robotic roll, beam and doffing handling, plus mill-edge inference on inspection and control cells. |
| Metropolis / DeepStream + TensorRT | Line-speed fabric-defect vision pipelines targeting sub-100 ms per-frame decisions. ASPIRATIONAL |
| Holoscan | Sensor fusion across cameras, spectrophotometers, probes, PLC events and meters into one explainable state stream. |
| Omniverse + Replicator / Cosmos | The as-produced fabric twin, and synthetic generation of rare defect, barré and shade-variation cases. |
| cuOpt | Dye-lot sequencing, rework queues, machine assignment and water/energy allocation under hard constraints. |
| Triton + NIM + NeMo | Multi-model serving at the mill edge, plus grounded textile-process and colour reasoning with citations. |
| NVIDIA AI Enterprise | Private and on-prem deployment for groups protecting dye recipes and construction IP. |
Items marked ASPIRATIONAL describe target architecture ahead of full production validation.
Integrations
It speaks to the machines you already own
Yarneon is not a rip-and-replace. It connects to the looms, frames, jets, stenters, cameras, spectrophotometers and MES already on your floor.
Loom & knit controllers
Picanol, Toyota, Tsudakoma, Karl Mayer and Mayer & Cie controllers over OPC UA and vendor PLC tags.
Spinning frames
Rieter, Trützschler, Saurer and Murata frames, draft, twist, speed and end-break telemetry.
Dyeing & finishing
Thies, Fongs, Brazzoli jets and Monforts/Brückner stenters via PLC, recipe systems and dosing units.
Colour & lab
Datacolor and X-Rite spectrophotometers, colour libraries, Pantone TCX standards and lab-dip workflows.
Inspection hardware
Line-scan RGB and NIR cameras, Uster and Elbit inspection frames, existing light boxes.
MES / ERP
SAP, Datatex, TIM, Coats Digital and homegrown mill MES over REST, files and database CDC.
Utilities & sustainability
Water, steam and electricity meters; ZDHC Gateway, Higg FEM and OEKO-TEX reporting.
Robotics
Vision-guided manipulators and AMRs on NVIDIA Isaac and Jetson for doffing, beams and roll transport.
Vendor names are listed for compatibility reference only and do not imply endorsement or partnership.
Programme
What partners get
Technical
Certified connectors
Reference connector implementations, conformance tests and joint field validation on real lines.
Commercial
Referral and resale
Margin on resale, referral fees on sourced deals and joint account planning in shared territories.
Enablement
Engineer training
Two-day certification covering deployment, safety model, runbooks and escalation.
Support
Named escalation
A named Yarneon engineer per partner, with an agreed escalation path during commissioning.
Co-marketing
Joint material
Case studies, joint webinars and trade-show presence where results warrant it.
Roadmap
Early access
Preview builds and quarterly roadmap sessions for partners with live deployments.
Agent graph
One run, ten steps, one human decision
This is the shape of a dye lot on Yarneon, shown as an illustrative scenario rather than a customer run. Ingest and simulation fan out, converge on a colourist approval gate, then dosing, verification, finishing, inspection and release. The accent traces the active path; every node opens in the inspector.
Scroll the graph sideways · or open the text equivalent below
SUCCEEDED APPROVAL FAILED RUNNING
Text equivalent, workflow steps, dependencies and status
| Step | Stage | Depends on | Status | Duration |
|---|---|---|---|---|
| ingest | conformance | none | SUCCEEDED | 0.8s |
| twin | simulate | ingest | SUCCEEDED | 46s |
| recipe | dye + colour | ingest | SUCCEEDED | 2.4s |
| approve | human gate | twin, recipe | APPROVAL | 4m 12s |
| dose | bath control | approve | SUCCEEDED | 118m |
| shade | verify ΔE | dose | SUCCEEDED | 9.1s |
| finish | stenter | dose | SUCCEEDED | 64m |
| inspect | vision | shade, finish | FAILED | 38m |
| rework | replan | inspect | SUCCEEDED | 1.6s |
| grade | release | rework | SUCCEEDED | 3.0s |
- Parallel branches2twin simulation and recipe prediction run together
- Human gates1colourist approval, 15 minutes, attributed
- Failures recovered1weft streak on roll 09, replanned in-run
Run timeline
RUN-4471 · Indigo poplin, 3,180 kg, due Thursday
The same scenario run as an ordered timeline: step, status, duration and the tool result behind it. Inspection failed on one roll, the run recovered, replanned the cut and still held the ship date.
RUN-4471
RUN COMPLETE
Scenario mill · reactive exhaust jet dyeing · illustrative run, not a customer deployment
Goal: Dye lot DL-4471 · 3,180 kg · 40s combed cotton poplin · shade Indigo 19-4028 TCX · ΔE ≤ 0.8 · due Thu 06:00
-
01 ingest.lot_state SUCCEEDED 0.8s
Pulls greige genealogy for 14 rolls: yarn lots, loom, greige GSM 138, absorbency and residual size from the prep line.
Agent, input and output
agent Quality-and-Conformance result ← 14 rolls · 3,180 kg · mean GSM 138.2 (σ 1.1) · prep OK -
02 twin.simulate_lot SUCCEEDED 46s
Omniverse fabric-line twin simulates the exhaust curve, machine loading and takt for three candidate recipes before a drop of dye is used.
Agent, input and output
agent Yield-and-Takt result ← 3 candidates scored · best predicted ΔE 0.52 · 118 min cycle -
03 dye.predict_recipe SUCCEEDED 2.4s
Spectral recipe model proposes a 3-dye combination against the buyer standard, corrected for this substrate’s absorbency and the current water hardness.
Agent, input and output
agent Dye-and-Color result ← 2.14% Navy RGB · 0.61% Blue BRF · 0.08% Black B · salt 62 g/L -
04 human.approve_recipe APPROVAL 4m 12s
Recipe deviates >5% from the standing card, so autonomy is capped: the colourist approves, rejects or edits before any dosing. Guardrail policy MILL-02/DYE-APPROVAL.
Agent, input and output
agent Dye-and-Color result → awaiting colourist · approved on shift 04:18 -
05 dye.control_bath SUCCEEDED 118m
Closed-loop dosing and ramp control against live bath spectrophotometry; two mid-cycle corrections applied when exhaustion ran 4% ahead of model.
Agent, input and output
agent Dye-and-Color result ← exhaust 96.4% · 2 corrections · bath ΔE 0.41 at drain -
06 shade.verify_lot SUCCEEDED 9.1s
Per-roll spectral read against Indigo 19-4028 TCX under D65/TL84/A; metamerism scored and rolls sorted into shade bands.
Agent, input and output
agent Shade-and-Quality result ← mean ΔE 0.58 · 13 rolls band A · 1 roll band B -
07 finish.control_stenter SUCCEEDED 64m
Stenter chemistry, overfeed and curing profile set to hold hand, 148 cm width and residual shrinkage under 3%.
Agent, input and output
agent Finish-and-Hand result ← width 148.3 cm · shrink 2.1% warp / 1.4% weft -
08 inspect.scan_rolls FAILED 38m
In-line vision flags a recurring 6 cm weft streak on roll 09 between 412 m and 445 m, traced to a stenter pin-chain slip, not a dye fault.
Agent, input and output
agent Defect-and-Inspect result ← 1 defect cluster · roll 09 · 33 m affected · class WEFT_STREAK -
09 plan.rework_route SUCCEEDED 1.6s
cuOpt re-plans the cut and rework route: 33 m diverted to seconds, remaining 14,890 m re-sequenced so the buyer’s Thursday ship date still holds.
Agent, input and output
agent Yield-and-Takt result ← 33 m to seconds (0.22%) · ship date held -
10 quality.grade_and_release SUCCEEDED 3.0s
Four-point grading, roll genealogy and the conformance packet (AATCC 61, ISO 105-C06, ZDHC MRSL declaration) are assembled and released to the buyer portal.
Agent, input and output
agent Quality-and-Conformance result ← 13 rolls Grade A · 1 roll Grade B · packet signed
RUN OUTCOME
Lot released first time, on shade, on date.
| Measure | Value | Context |
|---|---|---|
| Final mean ΔE | 0.58 | against a 0.80 tolerance |
| Re-dyes avoided | 1 | the standing card would have missed shade |
| Seconds | 0.22% | versus the scenario mill baseline of 1.9% |
| Water used | 46 L/kg | versus 59 L/kg on the scenario recipe card |
| Human decisions | 1 | the recipe approval gate |
Why this matters
A mill does not fail on the good lots. It fails on the lot where the substrate drifted, the recipe card was wrong, and nobody found out until the buyer opened the carton. Yarneon makes that lot legible while it is still in the machine.
Trust signals
What the runs actually produce
No customer results are published yet. These are platform facts and plan terms from our own documents. Outcomes will be measured against each mill’s own trailing twelve months, in shadow mode before anything is controlled.
9
Mill agents, one per stage, from spinning to release.
6
Products in the loop: Vireon, Spindra, Loomix, Shadeon, Doffex and Twinly.
3 to 5
Design partners we are onboarding first, one wedge workflow each.
$14k
Per line per month on the Line plan. Mill and Enterprise sit above it.
Items marked ASPIRATIONAL are design targets ahead of production validation.
Design-partner programme
What a design partnership involves
Three to five mills, one wedge workflow each, shadow mode first. The sequence comes from our MVP plan and does not change for anyone.
-
Phase 1
Instrument
The wedge workflow is connected in shadow mode and the baseline for seconds, re-dyes and waste is measured from the mill’s own data.
-
Phase 2
Assist
The agent recommends yarn, construction and recipe moves and predicts defects and shade. An engineer approves each one, and accuracy is scored in the open.
-
Phase 3
Graduate
Low-risk inspection, dye and finishing loops move to bounded auto-control one setpoint at a time. Exceptions escalate to a named person.
-
Phase 4
Expand
Adjacent modules are added within the same mill once the wedge holds its numbers. Publication of results is the mill’s decision.
Guardrails
An agent earns the right to touch a machine
Nothing here is a global "AI on" switch. Autonomy is granted per setpoint, bounded by policy, reversible by any operator and logged permanently.
- Graduated autonomy
- Every workflow moves observe → assist → bounded auto-control. Autonomy ceilings are per-setpoint policy, not a global switch.
- Human-in-the-loop gates
- Approval gates fire on deviation thresholds, new substrates, or any action outside the authorised envelope. Approvals are attributed and time-stamped.
- Reversibility
- Every control action ships with a revert path and a last-known-good setpoint. Operators can take manual control at any moment, from the HMI or the panel.
- Immutable audit log
- Assurance-grade, append-only record of every observation, decision, tool call, approval and actuation, exportable for buyer and regulatory audit.
- Tenant isolation
- Recipes, construction libraries and roll data are isolated per tenant. No cross-tenant training. Permission-aware retrieval with enforced citations.
- Sandboxed tools
- Agents call machines through a typed, scoped tool layer with rate and range limits. There is no path from a model output to an unbounded PLC write.
Enterprise
Built for groups, not just for one dyehouse
Multi-site rollout, group benchmarking, governance that a CIO recognises, and deployment options for producers who will never put a dye recipe in someone else’s cloud.
Governance a textile group can actually sign
Approval policies, spend limits, autonomy ceilings and audit exports are configured per site and enforced centrally. Group leadership sees which mill holds shade best on which family, and the mills see why.
- SSO (SAML/OIDC), SCIM provisioning and RBAC down to the setpoint
- Per-site data residency, private VPC or fully on-prem deployment
- Group benchmarking across right-first-time, seconds, water and energy
- Signed SLAs, named mill engineers and quarterly outcome reviews
- Outcome-based commercial components on yield, re-dyes and utilities
Group view
One group, one standard
Right-first-time shade by site and shade family, normalised for substrate mix, so a fair comparison is possible for the first time.
Rollout
Shadow first
Wedge line in shadow, then assist, then control.
Autonomy
Per setpoint
Granted one at a time.
Deployment
From first connector to bounded control, one phase at a time
No mill hands over a jet on day one. The path is deliberately slow at the start and faster once the numbers hold. Durations are quoted after the assessment, because they depend on how instrumented the mill already is.
-
Phase 1
Connect
Mill survey, edge appliance install, connectors to machines, MES and meters. Telemetry starts flowing; nothing is controlled.
-
Phase 2
Observe
Models run in shadow against live production. Predictions are scored against what the mill actually produced, on your data.
-
Phase 3
Assist
The agent proposes; a human commits. Approval gates, setpoint envelopes and revert paths are agreed with the process owners.
-
Phase 4
Control
Bounded auto-control on the setpoints you authorise, one at a time, with autonomy ceilings that you can lower at any moment.
Questions
What mills ask before they let an agent near a jet
Both, in that order. Every workflow starts in observe mode, graduates to assist (the agent proposes, a human commits), and only then to bounded auto-control on the specific setpoints you authorise. Autonomy ceilings, approval gates and spend limits are policy objects you own, and every action is reversible and logged.
The control loop lives at the mill edge. Inference, guardrails and the audit log run locally on the edge appliance, so a lost uplink degrades reporting and retraining, not machine control. Buffered telemetry syncs when the link returns.
Design partners start with one wedge line in shadow mode: connectors and telemetry first, then models scored against what the mill actually produced, then assist mode where the agent proposes and an engineer approves. Whole-mill rollout follows once the wedge holds its numbers. Durations depend on how instrumented the mill already is, so we quote them after the assessment, not before.
To predict recipes well, yes, and that IP never leaves your tenant. Retrieval is multi-tenant isolated, models fine-tuned on your data are yours, and on-prem deployment is available for groups that will not put recipes in any cloud.
A Jetson-class edge device per inspection or control cell, one GPU server per mill for multi-model serving, line-scan cameras where in-line inspection is in scope, and a spectrophotometer feed for colour work. We survey the existing fleet first, most mills already have more sensing than they use.
Bring Yarneon to your customers
If you commission dyehouses, sell looms or integrate MES in textiles, there is a clean partnership shape here.
