Trust before autonomy
Grounding, audit, human-in-the-loop and graduated control come before any write to a line.
About
Every batch has to match a standard. The plant should not run on memory.
Tinteon exists to move the craft of paints and coatings manufacturing into reliable, auditable AI, so every batch is on color, higher-yield and lower-waste. The plant runs itself; the people who know the product decide how far.
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.
Why
Why we are building this
Paints and coatings protect and color nearly every manufactured surface on earth: buildings, vehicles, appliances, coil, packaging, marine and industrial assets, formulated batch by batch from pigments, resins, solvents and additives. Making them is still one of the most craft-bound, color-sensitive and rework-heavy processes in chemical manufacturing, because color and rheology are exquisitely sensitive and every batch must match a standard exactly.
Pigments are dosed and dispersed to exact fineness and color development, let down and thinned to exact viscosity and solids, tinted and matched to a standard within a tight Delta-E, filtered and filled without contamination, and inspected for color, gloss, hiding power, fineness, seeds and fill and label faults. A drift at any step is a re-tint, a re-mill, an off-color reject, wasted solvent or a customer complaint.
Most plants run this on fixed formulas, manual tint adjustments, spot lab checks and the judgment of a retiring pool of formulators and color-matchers. The tools they have measure and log. None of them act. That is the gap.
Why now
- The low-VOC and waterborne transition, which makes color and rheology harder to control
- Coatings premiumization and color and SKU proliferation
- Reshoring and raw-material cost pressure
- VOC and solvent regulation and energy cost
- A formulator and color-matcher shortage that caps rate
- Spectrophotometry, machine vision, inline rheology, edge AI, robotic drum and pail handling and dispersion and color twins finally mature for coatings plants
Principles
How we build
Every correction trains the system
A color-matcher's or formulator's correction is a labeled training event, not a complaint.
Land narrow, expand relentlessly
One line and one number first. The plant and the group follow the number.
The standard is not a variable
Customer color standards, VOC limits and batch release stay with the plant's quality procedures and its people.
Tenant isolation is a design rule
Formulas and color standards never cross a customer boundary. On-prem is an option, not an exception.
Evaluation gates every change
Golden datasets and model-as-judge evaluations gate model and prompt changes in CI.
Run timeline
What we are actually building
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.
Focus
What kind of company this is
What we are
- An independent startup building original physical-AI software for paints and coatings manufacturing
- A product company: recurring software, priced per line, per plant and per group
- GPU-essential by design: spectral color science, plant-edge vision, rheology simulation, robotics, synthetic rare faults, model training
- Paints and coatings only, from dosing to pallet
What we are not
- Not a consultancy, systems integrator or outsourced development firm
- Not a reseller or a division of an equipment or instrument vendor
- Not a dashboard; a system that acts, with a person above the threshold
- Not claiming customers, results or certifications we do not have
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.
Market
The market
Paints and coatings manufacturing automation, dispersion and milling and tinting control, spectrophotometric color management, filling and inspection, coatings MES and factory software. Autonomous dispersion, tinting and color control, color and contamination sensing and coatings digital twins are the fastest-growing segments.
$15B
Total addressable market: paints and coatings manufacturing automation, dispersion and milling and tinting control, spectrophotometric color management, filling and inspection, coatings MES and factory software
$3.7B
Serviceable market: the segments Tinteon can serve with its product and go-to-market
$230M
Obtainable within three years through land-and-expand across dispersion, tinting and filling lines
~11%
Annual growth of the addressable spend
Team
Who is building it
Tinteon is led by its founder and CEO, Samuel Prescott, and its CTO, Dylan Crawford. The profiles below describe what each of them owns and the ground they cover.
Founder & CEO
Samuel Prescott
Samuel runs the company and owns the design-partner relationships, the pilot structure and the commercial model. He decides which coatings plant and which line go first, what color-match, batch-yield, rework or VOC number a pilot is judged on, and who in the plant signs off on the baseline.
Focus: paints and coatings production operations, plant economics, partnerships and go-to-market.
CTO
Dylan Crawford
Dylan owns the plant-edge runtime, the dispersion, tinting, color-matching and inspection models, the as-made batch digital twin, and the audit architecture behind every Tinteon agent. He is accountable for the bounded, logged write-back into mill, mixer, tinting and filling controls, and for every agent starting in shadow mode.
Focus: edge computer vision, spectral modeling, process control, simulation and digital twins, safety-critical industrial software.
Hiring
The roles we are building around are on the careers page. We look for people with hands-on coatings production, formulation or color-matching, applied AI at the edge, and experience shipping regulated, safety-critical software or hardware.
The name and the mark
Tinteon is built on tint, the essence of paints and coatings, with an ending that sets it apart from the rest of the portfolio. The mark is a fan deck: three color chips fanned from one rivet, saffron at the back, raspberry in the middle and deep aubergine at the front. It shows a batch being tinted step by step until it matches the standard chip, the physical tool a color-matcher uses to approve a shade. The rivet is a real cut-out through all three chips.
On dark backgrounds the front chip is lavender so it stays visible; the site accent follows it.
Writing
Recent notes
Making paint is a color-matching problem dressed up as chemistry
Every batch has to hit a customer's shade within a tight Delta-E, disperse to an exact fineness, land on an exact viscosity and fill clean. Miss any of it and t…
The craft is walking out the door
The best color-matchers and formulators hold the plant in their heads. A mill base gets read by eye, a tint gets nudged to tolerance from experience, a let-down…
Why a twin has to be as-made, not as-designed
Plants commit to a formula, a pigment lot, a color standard and a schedule, and only discover a fineness miss, an overshoot on viscosity, a Delta-E miss or a ta…
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.
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.
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.
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
| 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.
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
Come build the plant's operating system
Design partners, future colleagues and the people who sell to coatings plants: the first conversation is about one line.