Scenarios

No case study yet. Here is how one would be measured.

Tinteon has not run on a plant, so there are no results to report. These are scenario walk-throughs built from the product designs: what a pilot would instrument, what it would baseline, and the gate it would have to pass.

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Four scenariosIllustrative, not measuredBaseline from your own records

run_scn_01 · agent graph · scenario 10 nodes · 1 approval gate
01 · orchestrator order.receive ✓ SUCCEEDED 02 · orchestrator twin.simulate ✓ SUCCEEDED 03 · dose_disperse disperse.mill ✓ SUCCEEDED 04 · letdown_thin letdown.thin ✓ SUCCEEDED 05 · tint_color tint.match ✓ SUCCEEDED 06 · defect_inspect inspect.spectral ✓ SUCCEEDED 07 · orchestrator approve.human ◆ APPROVAL 08 · filter_fill filter.fill ✓ SUCCEEDED 09 · robot_handling handle.palletize ✓ SUCCEEDED 10 · quality_conf release.genealogy ✓ SUCCEEDED

Illustrative scenario: Plant run · one architectural deep tint base from dosing to pallet · bead mill, let-down tank, tint station, filling line. Not a measured run.

Scenarios

Four walk-throughs

Each follows the first-release plan: shadow, assist, then bounded control only after the agreed gates.

Architectural · tint lineTintra QUEUED

Delta-E first-time-right on one tint station

Baseline. Delta-E first-time-right rate, retints per batch, colorant used per match and draw-down loops, from the plant's own spectrophotometer readings and QA records over the first weeks of shadow mode.

Walk-through. Shadow mode reads the spectrophotometer and dispenser history and predicts the colorant additions for each batch while the color-matcher tints as usual. Once predicted additions track the matcher's final match, assist mode proposes the first-pass dose and a retint limit. The color-matcher approves each move; corrections train the model. Bounded tint sequencing follows only after the agreed gates.

Gate. Color-match prediction accuracy against the draw-down, then a retint and colorant reduction that justifies $14,000 per line per month from verified savings.

Industrial · bead millDispex QUEUED

Re-mills and mill energy on one dispersion line

Baseline. Re-mills per batch, mill energy per batch and off-color or low-hiding rejects by cause, from the plant's own Hegman and lab records and the mill's power meter.

Walk-through. Mill power, media temperature, residence and spectral reflectance feed a fineness and color-strength model per mill and pigment system. Assist mode proposes energy and residence trims inside the formula window and flags over- and under-dispersion risk early. The formulator's corrections are captured as per-mill memory, so the next grind starts from what the last one taught.

Gate. Fineness prediction accuracy against the gauge and the lab, and a formulator who trusts the stop point.

Waterborne · let-down tankRheon QUEUED

Solvent and additions on one let-down line

Baseline. Solvent per batch, additions to reach spec and viscosity variance against target, from the plant's own inline rheometer, bench viscometer and batch records.

Walk-through. Shadow mode fuses inline rheology, temperature, solids and mix power and compares predicted viscosity to the bench. Assist mode proposes let-down and thinning moves that converge with the fewest additions and flags stability risk. Bounded thinning write-back on one formula family follows after the gates.

Gate. Viscosity accuracy against the bench, then a solvent and addition reduction the plant can see on its own records.

Specialty · filling lineSpecton QUEUED

Contamination and fill rejects on one filling line

Baseline. Contamination, seed, foam, fill-weight and label rejects and customer complaints by cause, from the plant's own inspection, QA and complaint records.

Walk-through. Shadow mode runs color, gloss, hiding-power, seed and fill models on the line's spectral and camera streams and compares scores to the lab and the inspectors. Assist mode proposes holds and attributes each fault to its filter, filler or upstream cause. Control-linked holds and Palleon fill-weight write-back follow after the gates.

Gate. Inspection accuracy per fault class against the lab, then a reject and complaint reduction against baseline, with the quality manager owning release.

Run timeline

Scenario: one deep tint base, dosing to pallet

Every Tinteon run is an ordered, inspectable sequence. This is run_scn_01, an illustrative scenario: Plant run · one architectural deep tint base from dosing to pallet · bead mill, let-down tank, tint station, filling line. Scenario complete · batch inside spec · one human approval at the tint station.

run_scn_01 scenario · not measured SUCCEEDED
  1. 01 order.receive SUCCEEDED 0.8 s

    Plant Orchestrator · Pulled the formula, the customer color standard and its tolerance, the viscosity and solids spec, the raw-material lot records and the product's VOC limit from the coatings MES and the lab system; locked the target envelope for the run.

  2. 02 twin.simulate SUCCEEDED 41 s

    Plant Orchestrator · Simulated 24 candidate dispersion, let-down and tint paths on the Coatwin as-made twin; ranked them on predicted Delta-E, fineness margin, viscosity, solvent use, energy and takt, and discarded every candidate that moved outside the customer tolerance or the VOC limit.

  3. 03 disperse.mill SUCCEEDED 1 h 48 m

    Dose-and-Disperse · Held mill energy, media temperature and residence to the predicted fineness curve from mill power and spectral reflectance, trimming inside the formula window instead of grinding to a fixed time and checking the Hegman gauge afterward.

  4. 04 letdown.thin SUCCEEDED 26 m

    Letdown-and-Thin · Predicted viscosity from inline rheology, temperature and solids during let-down and converged on spec with two resin additions and one solvent addition instead of the standing four, inside the formula window; no stability risk was flagged.

  5. 05 tint.match SUCCEEDED 14 m

    Tint-and-Color · Read the batch's spectral curve against the customer standard, predicted the colorant additions and dosed the first pass; the draw-down read inside tolerance on Delta-E after one addition, with one retint still available under the declared limit.

  6. 06 inspect.spectral SUCCEEDED continuous

    Defect-and-Inspect · 12 camera and spectral streams at the plant edge: color, gloss, hiding power, fineness and seed checks on the batch, fill-weight and label checks on every pail; two seeds were attributed to one filter cartridge and Filter-and-Fill scheduled the change.

  7. 07 approve.human APPROVAL 2 m 10 s

    Plant Orchestrator · The lowest-solvent candidate wanted a second colorant addition beyond the declared retint limit to tighten Delta-E further. Held for the shift color-matcher, who kept the customer tolerance untouched and approved one bounded addition with a tighter draw-down check.

  8. 08 filter.fill SUCCEEDED continuous

    Filter-and-Fill · Filtered through the fresh cartridge and filled pails to exact weight using fill-weight and foam feedback from inspection; the filler corrected upstream instead of rejecting downstream.

  9. 09 handle.palletize SUCCEEDED continuous

    Robot-and-Handling · Moved filled pails to the pallet inside the declared safety zone with a simulation-validated handling policy; one pallet-pattern change was executed after the zone check cleared.

  10. 10 release.genealogy SUCCEEDED 58 s

    Quality-and-Conformance · Batch released: raw-material lots, grind profile, let-down moves, colorant additions and spectral curves, inspection outcomes, VOC and solvent use and every human decision written to the batch genealogy and checked against spec.

Tool calls

The tool calls behind the scenario

Every tool invocation, argument and result is written to an immutable, human-readable log, and every reasoning step is expandable. Nothing about a run is hidden from the plant. The log below is the scenario run, not a measured one.

tool-call stream · run_scn_01
  1. 05:40:02mes.read_order({ batch: "B-4471", product: "TB-DEEP-07", standard: "STD-2210" })
  2. 05:40:02ok formula locked · tolerance Delta-E v4 · VOC limit on product
  3. 05:40:03lab.read_results({ lot: "PIG-8831", test: "incoming pigment" })
  4. 05:40:03ok lot inside spec · accepted for dosing
  5. 05:40:04twin.simulate({ candidates: 24, horizon: "batch" })
  6. 05:40:45ok best path #9 · tolerance held · lowest solvent and energy per batch
  7. 05:40:46policy.evaluate({ plan: 9, stage: "bounded" })
  8. 05:40:46ok 7 writes permitted · 1 write requires human approval
  9. 05:40:47plc.write_setpoint({ tag: "MILL2.ENERGY", basis: "power+spectral" })
  10. 07:28:30ok Hegman on target · color strength on target · no re-mill
  11. 07:29:00viscosity.predict({ tank: "LD-3", basis: "inline rheology+solids" })
  12. 07:29:00ok two resin and one solvent addition predicted · stability clear
  13. 07:29:01plc.write_setpoint({ tag: "LD3.SOLVENT_DOSE", window: "formula" })
  14. 07:55:10ok viscosity on spec · no overshoot
  15. 07:56:00spectro.read_curve({ station: "TINT-2", standard: "STD-2210" })
  16. 07:56:01dispenser.write({ colorant: "B", basis: "spectral prediction", retint_limit: 1 })
  17. 08:10:12ok draw-down inside Delta-E tolerance · one retint remaining
  18. 08:10:13vision.stream({ cameras: 12, models: ["color_gloss", "hiding_power", "seed_foam", "fill_label"] })
  19. 08:21:48flag: seed · pail 0417 · attributed to filter cartridge F-2 loading
  20. 08:21:49defect.attribute({ event: "seed", cause: "filter.cartridge_F2" })
  21. 08:21:49ok filter_fill notified · cartridge change scheduled · fill held 40 s
  22. 08:21:52approval.request({ action: "retint.beyond_limit", reason: "tighter Delta-E on lowest-solvent path" })
  23. 08:24:02ok approved by the shift color-matcher · tolerance untouched · one bounded addition
  24. 08:24:03plc.write_setpoint({ tag: "FIL1.TARGET_WEIGHT", basis: "fill-weight+foam feedback" })
  25. 09:48:40ok pails on weight · no spills · labels verified
  26. 09:49:38mes.release_batch({ batch: "B-4471", genealogy: "full" })
  27. 09:50:36ok batch released · scenario complete

Reasoning trace

Goal, plan, thought, action, observation, exactly as the orchestrator would record it.

GoalDisperse batch B-4471 to Hegman fineness, let it down to visco…

Disperse batch B-4471 to Hegman fineness, let it down to viscosity spec, tint it inside Delta-E of standard STD-2210, filter and fill it to exact weight and release it with full genealogy.

PlanSimulate the whole batch on the twin first. Lead with fineness…

Simulate the whole batch on the twin first. Lead with fineness so the let-down gets the right mill base and the tint station gets the right color strength. Keep the customer tolerance and the VOC limit as hard constraints. Let the dispenser converge only inside the declared retint limit; hold anything beyond it for a human.

ThoughtThe standing practice grinds to a fixed time, lets down by fou…

The standing practice grinds to a fixed time, lets down by four additions and tints by draw-down loops. With live fineness and viscosity prediction and a spectral color-match model the batch can land on the first pass. The saving is rework, colorant and solvent, not tolerance: the customer standard is never a candidate for optimization.

Actiontwin.simulate(candidates=24) → path #9: Hegman on target in on…

twin.simulate(candidates=24) → path #9: Hegman on target in one grind, three let-down additions, one colorant pass, lowest predicted solvent and energy per batch, takt met.

ObservationPath #9 wants a second colorant addition beyond the declared r…

Path #9 wants a second colorant addition beyond the declared retint limit to tighten Delta-E further. The policy engine routes that single move to the shift color-matcher and permits the other seven writes.

ActionExecute path #9 at the bounded stage: mill energy, let-down do…

Execute path #9 at the bounded stage: mill energy, let-down dosing and the first colorant pass proceed; inspection runs continuously; the extra addition waits.

ObservationApproval granted at 08:24:02 with the tolerance untouched and …

Approval granted at 08:24:02 with the tolerance untouched and a tighter draw-down check. Two seeds were attributed to filter cartridge F-2 and Filter-and-Fill scheduled the change with a 40 second hold.

OutcomeScenario complete. The batch is released with raw-material lot…

Scenario complete. The batch is released with raw-material lots, grind profile, let-down moves, colorant additions, spectral curves, inspection outcomes, VOC and solvent use and the human decision in the genealogy. No measured plant result is claimed; this is the run the platform is designed to execute.

Method

How we would measure, and what we would exclude

Baseline first

Every pilot starts in shadow mode. The baseline comes from the plant's own lab, spectrophotometer, meters and QA records, never from Tinteon telemetry.

One metric

One line, one hard KPI agreed before anything is connected: Delta-E first-time-right, re-mills and mill energy, solvent per batch, or contamination and fill rejects.

Gates, not dates

Assist mode starts when prediction accuracy is proven. Bounded control starts when the quality and ROI gates pass. Neither is promised by calendar.

Exclusions

Changes driven by formula mix, raw-material lots or new color standards are separated from the agent's effect using the baseline period's variance.

Design targets

Design targets the scenarios assume

The numbers Tinteon is engineered against, from the GPU utilization plan.

50–150 ms per-frame edge decision on color, hiding power, contamination and fill models
<250 ms hold decision for filling and inspection actions
<1 s recommendation latency for formulators and color-matchers
8–24 camera and sensor streams per dispersion, tinting or filling line
2,000–5,000 GPU-hours of initial training per major model family
10k–100k simulated batch and fault scenarios per design partner

Design targets from the GPU utilization plan, all marked aspirational in the architecture. Nothing on this page is a measured plant result; measurements start when the first design-partner line runs in shadow mode.

Engagement

How a design-partner engagement runs

Gates, not dates. Each stage starts when the previous one has proven its number against your own baseline.

  1. Design partners. Three to five coatings makers instrument the wedge workflow in shadow mode. We measure the baseline on re-tints, re-mills, waste and solvent from your own lab, spectrophotometer, QA records and meters.
  2. Assist mode. The agent recommends dispersion, tint or color moves and predicts Delta-E, fineness and rheology; your color-matcher or process engineer approves. Accuracy and ROI are proven against the baseline.
  3. Graduated autonomy. Low-risk dispersion, tinting and inspection loops move to bounded automatic control with adaptive setpoints. Exceptions escalate to a person.
  4. Expansion. Adjacent modules are added within the same plant, then across sites.
Autonomy

Four stages, set per loop

A plant does not go from manual to bounded control in one step. Tinteon makes the stage explicit per loop, auditable and reversible at any time, and some decisions never leave the person.

Autonomy stages and the human role at each
StageWhat the agent doesWhat the person doesWhen
ShadowPredicts fineness, viscosity, Delta-E, hiding power, contamination and fill faults; writes nothingRuns the plant as today; compares predictions to the lab, the spectrophotometer and PLC outcomesFirst phase with every design partner
AssistRecommends bounded mill, let-down, colorant, filtration and fill moves with the evidenceA formulator, color-matcher or quality manager approves or rejects each oneAfter accuracy is proven against the baseline
BoundedWrites low-risk dispersion, tinting and inspection setpoints inside documented formula, tolerance, VOC, equipment and rollback limitsApproves anything above the limits; reviews the shift recordAfter the quality and ROI gates agreed up front
ExceptionsEscalates anything outside its envelope, any move against a customer standard or VOC limit, and release decisionsAlways decides these; the agent never doesPermanent
From the plant floor

Who this is built for

The three people in a coatings plant whose week changes when the process runs itself, and what each of them needs from Tinteon.

Economic buyer

Plant or Operations Director

Owns production rate, quality, rework and yield, waste, solvent and energy, and compliance. Wants a plant that holds color and spec at higher rate with fewer interventions, and a number that justifies the spend.

Champion

Formulation or Process Engineer and Color-Matcher

Owns formulas, dispersion, tint and color-match process windows and yield. Approves and corrects the agents in assist mode; those corrections train the models.

Approver

Quality or Compliance Manager

Owns product quality under ISO 9001 and customer color standards, color and contamination conformance, VOC and REACH compliance, and batch genealogy. Needs every action grounded, cited and written to an immutable record.

IT/OT and EHS leads approve the deployment. There are no customer quotes on this site yet; design partners will speak for themselves when they choose to.

Guardrails

An agent that can move a setpoint needs a leash

Tinteon writes to production equipment in a chemical 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, magnitude and retint limits, at the autonomy stage the plant has set.
  • Standards and limits are read, never written. The customer color standard and its tolerance, the VOC and solvent limits under the plant's permit and the batch release decision stay with the quality system and the people who own it.
  • Policy engine before every write. Autonomy stage, interlock state, product, formula, shift and operator presence are evaluated before a setpoint or a colorant addition moves.
  • Grounded and cited. Every recommendation carries a citation to the formula, color standard, 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 ISO 9001, VOC and REACH and customer color-standard record-keeping.
  • Hard fallback. If the edge node, the network or a model stops, the plant keeps running on its existing mill, dispenser and filling-line control and interlocks.
  • Tenant and IP isolation. Formulas, color standards, raw-material data and tolerance models never cross a customer boundary. On-prem deployment available.

Assurance posture

ItemScopeStatus
SOC 2 Type ICloud control plane QUEUED Roadmap, first 6 months
SOC 2 Type IICloud control plane QUEUED Roadmap, 6 to 12 months
ISO 9001 · VOC and REACH · customer color standardsGrounding and record-keeping RUNNING Design basis for retrieval and the audit log
Per-tenant isolationData, memory, models RUNNING Design rule
On-prem deploymentFormula-sensitive producers RUNNING Design option

Tinteon supports your quality and VOC records. It is not a certification and it does not replace your quality system or your permit.

Read the security overview

FAQ

Straight answers

The questions plant directors, formulators, color-matchers 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 documented limits. Every design partner starts in shadow mode, where Tinteon predicts and writes nothing. Assist mode follows, where a formulator or color-matcher approves each recommendation. Bounded autonomy on dispersion, tinting and inspection loops comes after the quality and ROI gates agreed up front.

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Run the real measurement on your line

A scenario becomes a case study when a design partner lets us baseline a line. That is the only way one gets written.

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