Equipment OEMs
Dispersion and milling, tinting and dispensing, filtration and filling and inspection vendors shipping Tinteon-ready autonomy on their machines.
Partners
Autonomy arrives through the people the plant already trusts.
Coatings plants buy from the equipment OEMs, color-instrument vendors, MES vendors and integrators they already work with. Tinteon's distribution thesis is to ship through them: dispersion, tinting, spectrophotometry, inspection and filling vendors shipping Tinteon-ready autonomy.
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.
Program
Four kinds of partner
MES and automation vendors
Coatings MES, formulation and traceability, PLC and SCADA vendors whose systems carry the formulas, orders and genealogy Tinteon reads and writes.
Color-instrument and analyzer vendors
Spectrophotometer, gloss and inline rheology suppliers whose streams Tinteon fuses at the plant edge.
Coatings makers
Design partners who run the first lines and shape the product; distribution compounds through the makers who prove it.
Built for
Architectural and decorative
Automotive OEM and refinish
Industrial
Coil
Powder
Marine and specialty
Coatings types, not customers. Tinteon has no plant connected yet and is recruiting its first design partners.
Commercial
How the partnership would work
Stated as intent. No partner agreements are signed yet.
Tinteon-ready equipment
Mills, dispersers, tint dispensers, filling lines and inspection stations shipped with the connectors, tags and limits Tinteon needs, so a plant can start in shadow mode on day one.
Formulas in, genealogy out
Orders, formulas, specs and color standards read from the coatings MES; audit log and batch genealogy written back, with the MES remaining the system of record.
Streams fused at the edge
Spectrophotometer, gloss and inline rheology streams and camera feeds fused on the plant-edge node into one color, rheology and inspection state.
Run timeline
What a partner-delivered run looks like
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
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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
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.
Fit
Who this works for
A good partner
- Sells into paints and coatings makers in the $100M to $30B revenue range
- Owns a stage of the process or the data about it
- Has customers asking for first-time-right color, yield, solvent or energy outcomes, not dashboards
- Will co-develop connectors with a design partner
Not yet
- Resellers looking for a finished product to list this quarter
- Integrators expecting a certification program; none exists yet
- Anyone who needs customer references before the first pilot has run
Accelerated computing
Physical AI, at the plant edge
A tint station reads a draw-down in seconds and a filling line moves hundreds of pails an hour, so perception has to be local and fast. Tinteon runs GPU inference at the plant edge and keeps training, simulation and optimization in the cloud, in a private cloud or on-prem. Items marked planned are on the roadmap, not running.
Edge perception
8 to 24 camera and sensor streams per line through DeepStream pipelines and TensorRT color, gloss, hiding-power, contamination and fill models; Holoscan synchronizes spectrophotometers, line-scan cameras, inline rheology, mill power and fill-weight streams at the plant edge. Design target: 50 to 150 ms per frame.
Model serving
Vision, spectral, time-series and coatings-knowledge models behind one plant router, with version routing by product family, colorant system and line. Design target: sub-second recommendations for operators, sub-250 ms holds for filling and inspection.
Training (planned)
Spectral color-match, dispersion and fineness, rheology and contamination models fine-tuned on batch telemetry, images and supervised color-matcher corrections; NeMo-based coatings reasoning. Design target: 2,000 to 5,000 GPU-hours per major model family.
Digital twin (planned)
The Coatwin as-made batch twin: GPU-accelerated spectral color-match prediction and dispersion and rheology simulation run before the batch, for color and grade changes and batch planning when a trial is expensive. Design target: 10,000 to 100,000 scenarios per design partner.
Synthetic data (planned)
Rare off-color, seed, contamination, foam, label, hiding-power and fill-fault cases generated with domain randomization, marked synthetic and validated against real plant data before use.
Optimization
Color-family batching, wash and changeover minimization, solvent and energy allocation and filling-line takt, recomputed on the GPU daily and intra-shift when the plant is disrupted.
Data engineering
Batch-genealogy, quality, equipment and rework telemetry ETL for feature generation, color correlation and cross-plant benchmarks on the GPU.
Robotic handling
Drum, pail, tote and pallet handling, with perception and motion policies built and validated in simulation before they move a container.
Integrations
It speaks plant, not cloud
Tinteon 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 controls of dispersers, bead, basket and horizontal mills, with mill power, media temperature and residence telemetry
Setpoint reads, guarded writes, interlocks untouched
Tint dispensers and colorant dosing systems
Colorant additions inside declared retint and additive limits
Spectrophotometers, draw-down cameras and color-standard libraries
Spectral curves and Delta-E in; cited matches out
Inline rheometers and viscometers, temperature and solids sensors, LIMS results
Continuous viscosity and stability state
Filtration skids, filling lines, fill-weight scales, labelers
Telemetry in; fill-weight and hold commands inside approved windows
Multi-camera and spectral stations for color, gloss, hiding power, seeds, foam, fill and label faults
Frames, fault events, hold recommendations
Orders, formulas, color standards, product specs, batch genealogy
Targets in, release records out
Plant and asset meters, solvent and VOC accounting; Isaac-driven drum, pail and tote cells
Hard constraints for scheduling; bounded handling
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
| 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 |
| ISO 9001 · VOC and REACH · customer color standards | 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 | Formula-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.
Enterprise
Standardize autonomy across the group
One policy model, one audit trail and one set of yield, rework, waste, solvent, energy and color benchmarks across every plant in the group, with each site's formulas, color standards and tolerance models kept private to that site.
- Multi-site plant-edge fleet with shared model governance
- Custom formula, color 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
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.
They are not optimization variables. The customer standard and its tolerance, the VOC and solvent limits under your permit and the batch release decision stay with your quality procedures and your people. Tinteon reads them, cites them and writes every reading to an immutable audit log attached to the batch genealogy. It is grounded in ISO 9001, VOC and REACH and customer color standards; it is not a certification and does not replace your quality system.
Tinteon sits above your existing automation as a supervisory layer. If it stops, the plant keeps running on its current mill, dispenser and filling-line control and the interlocks it already has. A Tinteon outage degrades the plant to the way it runs today, not to a stop.
The first phase is shadow mode on one line: Tinteon reads your spectrophotometer, mill and dispenser history, inline rheology, lab results and MES while you run the plant as usual, and we measure its predictions against your lab, your draw-downs and PLC outcomes. Recommendations start when accuracy is proven against that baseline, and improve as plant-specific history and color-matcher corrections accumulate.
Formulas, color standards, tolerance models and raw-material data are tenant-scoped and never used to train another customer's models. Retrieval is multi-tenant isolated and permission-aware. Cross-plant learning, where a customer opts in, is federated and IP-isolated. On-prem deployment is available for producers protecting sensitive formulas.
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 formula, standard 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: Delta-E first-time-right rate and retints, re-mills and mill energy, solvent per batch and viscosity variance, or contamination and fill rejects. 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 assurance-grade quality and VOC audit log.
Get started
Bring autonomy to your customers' plants
If you sell to coatings makers, the first conversation is about one of their lines.