External signals · impact on AVY

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R&D · Materials innovation · Faster new-product launch

Avery Dennison on Thermo Fisher Platform for Science + SCIKIQ

Thermo captures and orchestrates the science. SCIKIQ operationalises enterprise intelligence on top of it.
From connected labs to connected enterprise intelligence.

Source: Pravin Jaiswal · COO TechnePlus · email 22-May-2026. Position SCIKIQ as a AI-Native Scientific Intelligence Platform — never as Dashboarding, Generic analytics, Another data lake, Generic GenAI chatbot.

PfS modules in scope

OData entities

AI use cases mapped

3 pitch-first · 4 next-wave

Live R&D programmes

Adhesives · liners · RFID · ink · embellishment

Experiments in catalogue

13 measured results · 13 instruments

Target cycle-time cut

−40%

28w → 17w formulation→launch

Exhibit · 4-layer architecture

Where each layer ends — and where SCIKIQ starts

Bottom: Thermo PfS captures the science. SCIKIQ owns the fabric + AI + outcomes.

✦Business Outcomes

What the board cares about

▢ CEO · CSO · CFO · Innovation

Faster commercialisation (28w → 17w)

−40% formulation cycle

Sustainable materials at scale

PFAS-free · EU DPP-ready

Lower R&D cost per launch

−$3.2M / programme

IP acceleration

+22% patent throughput

Field-quality lift

−35% complaint root causes

↑ feeds enriched signals back ↑

☼AI & Intelligence — SCIKIQ AI layer

Where decisions get made

▢ SCIKIQ · Azure OpenAI · in-house ML

R&D Copilot (grounded GenAI)

Scientist-facing chat

Next Best Experiment recommender

Active-learning + Bayesian opt

Formulation recommendation engine

Property-target inverse search

Sustainable substitution AI

Hazard + LCA + supplier signals

Failure analysis & root-cause AI

Lab × plant × field correlation

Enterprise scientific search (GenAI)

Across labs / patents / PDFs

Regulatory & compliance intelligence

REACH / FDA / ESPR signals

↑ feeds enriched signals back ↑

✚Enterprise Data Fabric — SCIKIQ

Where the science meets the enterprise

▢ SCIKIQ (governance + KG + semantic layer)

Scientific Knowledge Graph

Materials · experiments · patents · customers

Cross-system data unification

PfS · ERP · PLM · MES · QMS · ESG

Contextualisation engine

Adds business meaning to lab data

Governance & lineage

Who saw what · when · why

Active metadata management

Auto-curation of PfS exports

Semantic / ontology layer

Shared scientific vocabulary

↑ feeds enriched signals back ↑

◈Scientific Systems — Thermo Fisher Platform for Science

The system of scientific record

▢ Thermo Fisher · operated by AD

Core LIMS (samples · workflows · batches)

AWS-hosted, AD-tenanted

Core ELN (procedural experiments)

Native LIMS-integrated

Core SDMS (raw instrument files)

Vendor-neutral capture

Chromeleon CDS / Connect

GC/LC harmonisation

Core Connect (OData v4 API)

Open standards-based

~40 connected instruments (DSC · TGA · FTIR · GC-MS · peel · climate)

4 R&D sites

Lab automation & workflows

Result-driven branching

L1 (Thermo) is the system of scientific record. L2–L3 (SCIKIQ) is where R&D becomes enterprise intelligence. L4 is what the board sees.

Exhibit · Thermo Fisher PfS modules

What AD already operates on

PFS.CORE

Sample & workflow

OData / API

Core LIMS™

Sample lifecycle, workflows, batches, instrument integration, audit trail (21 CFR 11). Runs ON Platform for Science.

▣ At Avery Dennison

AD R&D labs in Mentor, Painesville, Concord, Leiden — track formulation samples, ageing studies, lot release for adhesive/film batches.

PFS.ELN

Experiment capture

OData / API

Core ELN™ (Electronic Lab Notebook)

Procedural experiment authoring; integrates natively with Core LIMS — no glue code required.

▣ At Avery Dennison

Scientists write up emulsion synthesis, peel-adhesion trials, UV-ageing experiments inline with the LIMS sample record.

PFS.SDMS

Raw instrument data

OData / API

Core SDMS™ (Scientific Data Management)

Captures and stores raw instrument files — DSC, TGA, FTIR, GC-MS, peel-tester, climate chamber, rheometer. Vendor-neutral.

▣ At Avery Dennison

Raw spectra and traces from ~40 lab instruments across 4 R&D sites; preserves originals for re-analysis.

PFS.CDS

Chromatography data

OData / API

Chromeleon™ CDS / Connect

Chromatography Data System; consolidates GC/LC outputs; harmonises method libraries across labs.

▣ At Avery Dennison

Solvent residue, monomer purity, additive separation for adhesive QC and supplier acceptance.

PFS.CONNECT

Integration / OData

OData / API

Core Connect™

Suite of integration services. Exposes an **OData v4** standards-based API for inbound + outbound integration with external systems, BI tools, CRM, AI/ML platforms.

▣ At Avery Dennison

Single open door for SCIKIQ to read PfS sample/experiment/result entities and write back enriched signals (similarity scores, sustainability flags, NBE recommendations).

PFS.DEV

Developer enablement

OData / API

PfS Developer Portal (beta)

Docs, example code, OData entity reference, getting-started for the OData API and Core Connect.

▣ At Avery Dennison

Onboarding path for the SCIKIQ integration team and AD R&D-IT app developers.

PFS.WORKFLOW

Lab orchestration

OData / API

Workflow & Automation

Configurable workflows, instrument scheduling, lab automation hooks. Trigger downstream actions on result events.

▣ At Avery Dennison

Auto-route a failed peel-adhesion result to a follow-up humidity trial; trigger Six Sigma DOE branches.

PFS.COMPLY

Regulatory

Compliance & Audit

21 CFR Part 11 e-records & e-signatures, GxP-ready, full audit history. Foundation for EU DPP/ESPR substantiation.

▣ At Avery Dennison

Provenance evidence for EU DPP claims on recycled content, PFAS-free liner, food-contact compliance.

Exhibit · AI use cases — SCIKIQ on top of Thermo

3 to pitch first · 4 next-wave

Each use case ships with: the scientist's question, what Thermo provides, what SCIKIQ adds, and the OData query that powers it.

PITCH-FIRST

AI-Powered Formulation & Experiment Optimisation

From reactive experimentation to predictive material innovation.

Scientist asks

"Recommend three adhesive formulations most likely to pass 95% RH humidity ageing at 50 °C on recycled PET, given Q3 monomer pricing."

Thermo PfS does

Captures every formulation trial, instrument reading and pass/fail outcome as the canonical scientific record.

SCIKIQ adds

Trains property-prediction + Bayesian-optimisation models on the full PfS history (samples / experiments / results) + supplier monomer specs + customer requirement library + manufacturing constraints.

✓ −30–50% formulation cycle time✓ Higher first-pass success rate (target +25 pts)✓ Lower lab cost per successful launch✓ Preserves institutional knowledge across scientists

PfS entities Formulation Experiment Test Result Material

▢ Head of R&D · MG

GET .../Formulation?$filter=Project/Code eq 'FALCON' and Result/Property eq 'PeelAdhesion_180_PET'&$expand=Sample,Material&$top=50

PITCH-FIRST

Scientific Knowledge Graph & R&D Copilot

Ask the enterprise. Get an answer grounded in your own science.

Scientist asks

"Show all adhesive formulations that passed durability testing on recycled PET under high humidity, and tell me who ran them."

Thermo PfS does

Provides the authoritative samples, experiments, results, batches and lineage that anchor the graph in real science.

SCIKIQ adds

Builds a governed knowledge graph spanning PfS + patents + customer requirements + supplier specs + complaint records + sustainability data, and exposes it via grounded GenAI chat with citations.

✓ Reuse enterprise knowledge — no duplicate research✓ Faster scientist onboarding✓ Preserve tribal knowledge as people retire / rotate✓ Cross-region collaboration (Mentor ↔ Leiden ↔ Suzhou)

PfS entities Sample Experiment Project User Result

▢ CIO / CDO

GET .../Sample?$search="recycled PET humidity adhesive"&$expand=Experiments($expand=Results)

PITCH-FIRST

Sustainable Materials Intelligence Platform

AI-driven sustainable materials innovation.

Scientist asks

"Find PFAS-free release liner candidates that match Project HELIX target peel curve and would not impact ESPR-mandated DPP recyclability claims."

Thermo PfS does

Captures complete material composition, additive list, supplier batch and lot for every formulation trial.

SCIKIQ adds

Correlates PfS material composition with hazard databases (REACH SVHC, FDA, EU ESPR, EPA CDR), LCA datasets, supplier ESG, and AD 2030 goals to score every formulation on sustainability and regulatory risk.

✓ PFAS / SVHC alternatives flagged automatically✓ Carbon footprint per formulation predicted before lab✓ EU DPP / ESPR-ready substantiation built-in✓ Supplier sustainability risk surfaced inline

PfS entities Material Formulation Sample Result

▢ Chief Sustainability Officer

GET .../Material?$filter=Material/HazardFlags/any(h: h eq 'PFAS')&$expand=Formulations/Project

NEXT-WAVE

AI-Powered Failure Analysis & Root-Cause Intelligence

Why did this formulation fail in Southeast Asia but not in Ohio?

Scientist asks

"Adhesive degradation spiked 18% on Vietnam apparel deployments this quarter — correlate lab batches, suppliers, climate and storage."

Thermo PfS does

Lab-side reference batches + QC fingerprints make the root-cause math possible.

SCIKIQ adds

Correlates PfS lab QC, plant MES quality, customer complaint data, ambient climate, supplier change-of-grade, and shipping/storage telemetry.

✓ Faster root-cause closure (target ≤72h)✓ Lower warranty / complaint exposure✓ Better product consistency

PfS entities Batch Result Sample Material

▢ COO / Head of Quality

GET .../Batch?$filter=BatchId in $production_batches and Result/Status eq 'Out_of_spec'

NEXT-WAVE

Enterprise Scientific Search & GenAI Assistant

ChatGPT for scientific enterprise knowledge — governed & cited.

Scientist asks

"Summarise every failure related to UV resistance on Embelex transfers since 2022 and the variables that mattered."

Thermo PfS does

ELN + SDMS are the largest single retrieval source; OData makes it queryable in near-real-time.

SCIKIQ adds

Hybrid retrieval over PfS exports + ELN free-text + patents + PDFs + lab notes; LLM answers strictly grounded in those passages with provenance.

✓ Fastest time-to-value of any use case✓ Self-serve answers for every scientist & PM✓ Built-in citations and source links

PfS entities Experiment Result Sample Project

▢ Head of Innovation

GET .../Experiment?$search="UV resistance transfer Embelex"&$orderby=CompletedDate desc

NEXT-WAVE

Regulatory & Compliance Intelligence

When the rule changes, the impacted formulations light up.

Scientist asks

"EU just restricted Substance X — list every AD formulation, customer programme and SKU exposed, and the closest validated alternative."

Thermo PfS does

Material composition + lot lineage from PfS is the substrate for the impact analysis.

SCIKIQ adds

Monitors REACH, FDA, EU ESPR, Prop 65, regional bans; back-propagates to PfS material masters; recommends substitutions with confidence.

✓ Reduced compliance risk✓ Faster market approvals✓ Pre-emptive customer notifications

PfS entities Material Formulation Batch

▢ Chief Sustainability / Regulatory

GET .../Material?$filter=Material/CAS in @restricted&$expand=Formulations($expand=Project,Customers)

NEXT-WAVE

Digital Thread: R&D → Manufacturing → Commercialisation

From lab beaker to atma.io-tagged SKU on a Walmart shelf.

Scientist asks

"Trace the lineage from Project FALCON formulation v3.2 → which plants ran it → which customer programmes received it → field performance."

Thermo PfS does

PfS is the upstream anchor of the digital thread — every downstream identifier resolves back to a sample/experiment.

SCIKIQ adds

Stitches PfS sample IDs to PLM part numbers, ERP batch IDs, MES production records, atma.io item IDs and customer feedback.

✓ True end-to-end innovation visibility✓ Better forecasting of scale-up issues✓ Closes the loop from field signal back to R&D

PfS entities Sample Batch Formulation Project

▢ Chief Digital Officer

GET .../Sample?$expand=Formulations($expand=Batches($expand=Manufacturing,AtmaItems))

Exhibit · OData v4 entity catalogue

The open door from PfS into SCIKIQ

All entities exposed via Core Connect. Try a synthetic OData query below — it hits the local API.

Endpoint https://avydennison.platformforscience.com/odata/v4/ ?

Click GET to run a live synthetic OData call.

Projects key: Code An R&D programme (e.g. FALCON · sustainable adhesive). Owns experiments, formulations and samples.

Fields (sample values)

Field	Type	Example
`Code`	Edm.String	`FALCON`
`Name`	Edm.String	`Sustainable adhesive for recycled PET`
`Owner`	Edm.String	`Dr Aiyana Chen`
`BusinessUnit`	Edm.String	`MG.LPM`
`Stage`	Edm.String	`Pilot scale-up`
`StartDate`	Edm.Date	`2025-01-13`
`TargetLaunch`	Edm.Date	`2026-Q3`
`Status`	Edm.String	`On track`
`Tags`	Collection(Edm.String)	`['sustainable','rPET','adhesive']`

$expand options

SamplesExperimentsFormulations

Example URL

https://avydennison.platformforscience.com/odata/v4/Projects?$top=5

Try locally

Open /api/pfs/odata/Projects →

Samples key: SampleId A physical specimen tracked by LIMS — raw material, intermediate or test specimen.

Fields (sample values)

Field	Type	Example
`SampleId`	Edm.String	`SMP-2026-09421`
`Project`	Edm.String	`FALCON`
`Type`	Edm.String	`TestSpecimen`
`MaterialCode`	Edm.String	`ADH-ACR-014`
`FormulationVersion`	Edm.String	`FALCON-v3.2`
`ReceivedDate`	Edm.DateTimeOffset	`2026-04-21T08:14:00Z`
`Status`	Edm.String	`Active`
`Owner`	Edm.String	`M. Okafor`
`Site`	Edm.String	`Mentor (OH)`

$expand options

ExperimentsResultsMaterial

Example URL

https://avydennison.platformforscience.com/odata/v4/Samples?$top=5

Try locally

Open /api/pfs/odata/Samples →

Experiments key: ExperimentId A formulation trial or characterisation run. Owns one or more tests; captured in ELN.

Fields (sample values)

Field	Type	Example
`ExperimentId`	Edm.String	`EXP-FALCON-0214`
`Project`	Edm.String	`FALCON`
`Title`	Edm.String	`Acrylic v3.2 — peel + humidity, recycled PET`
`Hypothesis`	Edm.String	`Replacing 12% of methyl acrylate with biobased monomer maintains peel ≥7.5 N/in after 72h 95% RH.`
`RunDate`	Edm.DateTimeOffset	`2026-04-22T10:30:00Z`
`Status`	Edm.String	`Completed`
`Outcome`	Edm.String	`Met-target`
`LeadScientist`	Edm.String	`M. Okafor`
`ELN_URL`	Edm.String	`/eln/FALCON/0214`

$expand options

TestsResultsSampleInstrument

Example URL

https://avydennison.platformforscience.com/odata/v4/Experiments?$top=5

Try locally

Open /api/pfs/odata/Experiments →

Tests key: TestId A single test method execution (peel, humidity, UV ageing, etc.) on a sample.

Fields (sample values)

Field	Type	Example
`TestId`	Edm.String	`TST-PEEL-180-44128`
`Method`	Edm.String	`ASTM D3330 · 180° peel · stainless steel`
`InstrumentId`	Edm.String	`INS-PEEL-02`
`Operator`	Edm.String	`M. Okafor`
`StartTime`	Edm.DateTimeOffset	`2026-04-22T10:32:00Z`
`Duration_s`	Edm.Int32	`240`
`Status`	Edm.String	`Pass`

$expand options

ResultsExperimentInstrumentSample

Example URL

https://avydennison.platformforscience.com/odata/v4/Tests?$top=5

Try locally

Open /api/pfs/odata/Tests →

Results key: ResultId A measured value or pass/fail outcome of a Test. Carries spec limits and SDMS pointer.

Fields (sample values)

Field	Type	Example
`ResultId`	Edm.Int64	`73492881`
`TestId`	Edm.String	`TST-PEEL-180-44128`
`Property`	Edm.String	`PeelAdhesion_180_PET`
`Value`	Edm.Decimal	`7.84`
`Unit`	Edm.String	`N/in`
`SpecMin`	Edm.Decimal	`7.50`
`SpecMax`	Edm.Decimal	`9.50`
`Status`	Edm.String	`PASS`
`RawFileSDMS`	Edm.String	`/sdms/peel/2026/04/EXP-FALCON-0214/raw.csv`

$expand options

TestSample

Example URL

https://avydennison.platformforscience.com/odata/v4/Results?$top=5

Try locally

Open /api/pfs/odata/Results →

Instruments key: InstrumentId Lab instrument registered in PfS — vendor, model, calibration state, owning site.

Fields (sample values)

Field	Type	Example
`InstrumentId`	Edm.String	`INS-DSC-01`
`Type`	Edm.String	`DSC`
`Vendor`	Edm.String	`TA Instruments`
`Model`	Edm.String	`Discovery DSC 2500`
`Site`	Edm.String	`Mentor (OH)`
`CalibratedThrough`	Edm.Date	`2026-09-30`
`Status`	Edm.String	`Available`

$expand options

Tests

Example URL

https://avydennison.platformforscience.com/odata/v4/Instruments?$top=5

Try locally

Open /api/pfs/odata/Instruments →

Materials key: MaterialCode Raw or formulated material in PfS material master — composition, CAS, hazard flags, supplier lots.

Fields (sample values)

Field	Type	Example
`MaterialCode`	Edm.String	`MON-BIO-014`
`Name`	Edm.String	`Biobased acrylate monomer · ITA-014`
`CAS`	Edm.String	`CAS 97-65-4`
`Supplier`	Edm.String	`Stora Enso Biomaterials`
`RenewableContent_pct`	Edm.Decimal	`62.0`
`HazardFlags`	Collection(Edm.String)	`['SVHC:none','PFAS:none','Prop65:none']`
`Spec_URL`	Edm.String	`/spec/MON-BIO-014.pdf`

$expand options

FormulationsSamples

Example URL

https://avydennison.platformforscience.com/odata/v4/Materials?$top=5

Try locally

Open /api/pfs/odata/Materials →

Formulations key: FormulationVersion Versioned recipe — list of materials + targets. Parent of all derived samples and batches.

Fields (sample values)

Field	Type	Example
`FormulationVersion`	Edm.String	`FALCON-v3.2`
`Project`	Edm.String	`FALCON`
`Composition`	Collection(MaterialFraction)	`[{Mat:'MON-BIO-014',pct:12.0},{Mat:'MON-ACR-002',pct:48.0}…]`
`Target_PeelAdhesion_N`	Edm.Decimal	`7.5`
`Predicted_Tg_C`	Edm.Decimal	`−42.0`
`CarbonFootprint_kgCO2e_kg`	Edm.Decimal	`1.84`
`CreatedBy`	Edm.String	`Dr A. Chen`
`CreatedDate`	Edm.Date	`2026-04-14`

$expand options

ProjectSamplesBatchesMaterials

Example URL

https://avydennison.platformforscience.com/odata/v4/Formulations?$top=5

Try locally

Open /api/pfs/odata/Formulations →

Batches key: BatchId A produced batch (pilot or commercial) tied to a formulation; bridges PfS to ERP / MES.

Fields (sample values)

Field	Type	Example
`BatchId`	Edm.String	`BAT-FALCON-v3.2-PILOT-04`
`FormulationVersion`	Edm.String	`FALCON-v3.2`
`Plant`	Edm.String	`Mentor pilot coater`
`Quantity_kg`	Edm.Decimal	`120`
`ProducedDate`	Edm.Date	`2026-04-30`
`QualityStatus`	Edm.String	`Released`
`ERP_BatchRef`	Edm.String	`SAP:000123456789`

$expand options

FormulationSamplesResults

Example URL

https://avydennison.platformforscience.com/odata/v4/Batches?$top=5

Try locally

Open /api/pfs/odata/Batches →

Workflows key: WorkflowId A configured PfS workflow / SOP — orchestrates sample steps, sign-off and downstream actions.

Fields (sample values)

Field	Type	Example
`WorkflowId`	Edm.String	`WF-ADH-DOE-001`
`Name`	Edm.String	`Adhesive DOE 5-factor screening`
`Owner`	Edm.String	`Dr A. Chen`
`Steps`	Edm.Int32	`11`
`AverageDuration_d`	Edm.Decimal	`6.4`
`Status`	Edm.String	`Active`

$expand options

Experiments

Example URL

https://avydennison.platformforscience.com/odata/v4/Workflows?$top=5

Try locally

Open /api/pfs/odata/Workflows →

Users key: UserId PfS scientist / operator with site, role and certifications. Used for audit + Copilot attribution.

Fields (sample values)

Field	Type	Example
`UserId`	Edm.String	`u.okafor`
`Name`	Edm.String	`Michael Okafor`
`Role`	Edm.String	`Senior Scientist · Adhesives`
`Site`	Edm.String	`Mentor (OH)`
`Certifications`	Collection(Edm.String)	`['GLP','21CFR11','SixSigma-BB']`

$expand options

Experiments

Example URL

https://avydennison.platformforscience.com/odata/v4/Users?$top=5

Try locally

Open /api/pfs/odata/Users →

Exhibit · End-to-end · Idea → Launch

One programme, eight steps · Thermo + SCIKIQ in concert

Walking Project HELIX (PFAS-free release liner) through the full architecture, from regulator signal to customer-ready dossier.

⚡

Idea / Trigger

Customer · Regulator · Sustainability · Brussels signal · global impact

Thermo —

SCIKIQ Detects an EU PFAS restriction signal + matches it to AD's release-liner SKUs and impacted customer programmes.

▤ SCIKIQ alert · 'PFAS Rule 2026/812 → 3 SKUs · 2 programmes (HELIX, NOVA) · $42M revenue at risk'

→

✦

Hypothesis & retrieval

R&D Scientist · Dr S. Koen · Leiden (NL)

Thermo —

SCIKIQ R&D Copilot retrieves 18 prior PFAS-free release-coating experiments across Mentor + Leiden + Suzhou. Surfaces the 3 closest historical formulations and one Wacker supplier candidate.

▤ Grounded answer with citations to EXP-HELIX-0044, EXP-HELIX-0167, PATENT-US11472881 + 1 supplier datasheet.

→

☼

Next Best Experiment

SCIKIQ AI · Bayesian optimiser · SCIKIQ AI Layer

Thermo —

SCIKIQ Recommends HELIX-v1.4 composition (95% REL-SIL-204 + 5% biobased rosin) as the highest-probability path to spec; predicts release force 19.4 g/in (95% CI 18.9–20.1).

▤ Experiment plan · prior: 21 historical runs · posterior: P(meet target) = 0.78.

→

◈

PfS execution

Thermo Fisher · Core LIMS + ELN + SDMS · Leiden lab (NL)

Thermo Materialises the experiment — assigns Sample SMP-2026-09712, writes the procedure into ELN, schedules INS-PEEL-03, captures raw release-force traces in SDMS, records pass/fail Results with audit trail.

SCIKIQ Subscribes to the result-event webhook from Core Connect.

▤ EXP-HELIX-0188 · TST-REL-23-49801 · Result 19.4 g/in PASS · raw trace in SDMS.

→

✚

Enrichment & contextualisation

SCIKIQ Data Fabric · SCIKIQ Fabric (cloud)

Thermo Streams entity updates over OData v4.

SCIKIQ Pulls the new Experiment/Result via OData, joins to supplier ESG, customer requirement library, plant capability, current LCA model. Updates the KG. Writes back enriched signals (sustainability score, customer-fit score) to a PfS UDF.

▤ KG nodes updated · Sustainability score 84/100 · Top-fit customers: Avery + Diageo + Brown-Forman.

→

▣

Cross-system check

SCIKIQ · PLM + ERP + QMS · SCIKIQ Fabric

Thermo —

SCIKIQ Validates the formulation against existing PLM parts (no duplicate), ERP material codes (supplier on AVL?), QMS spec sheets (release-coating control plan), and plant runnability constraints.

▤ Greenlight checklist · 5/5 green · ready for pilot batch.

→

▤

Manufacturing scale-up

Plant · MES + ERP · pilot coater · Leiden pilot coater

Thermo Receives Batch entity via Core Connect; binds BatchId to the SAP batch ref; captures in-line QC.

SCIKIQ Predicts plant yield + waste; recommends line speed window; flags raw-material AVL risks for week 18.

▤ BAT-HELIX-v1.4-LAB-02 · 18 kg · QC-pass · ready for customer A-sample.

→

✓

Customer pilot & launch

Brand · Sales · Customer · atma.io · Customer site + atma.io

Thermo Material lineage exportable for regulatory dossiers via PfS audit.

SCIKIQ Generates a customer-ready briefing pack (one-page sustainability + DPP + spec), an SCIKIQ board narrative, and a tag-and-track plan for the atma.io DPP item type.

▤ Pilot-launch dossier · DPP-ready · target launch Q1 2027.

Read top-to-bottom on mobile, left-to-right on desktop. Each handoff is a real OData read/write event.

Exhibit · Live R&D programmes on PfS

What's actually in the synthetic PfS tenant

Six active programmes across Materials Group + Solutions Group + Embelex. Click a project to filter the experiment + formulation tables.

FALCON

On-track

Sustainable adhesive for recycled PET

▢ Dr Aiyana Chen · MG · LPM · Wine & Spirits / HVC

Stage · Pilot scale-up Launch · 2026-Q3

sustainablerPETadhesiverecyclable

Bio-acrylic adhesive that survives recycled-PET wash-off cycles without contaminating the recycling stream. Anchor customer: Diageo wine portfolio.

Drivers: EU ESPR / DPP · Diageo + Pernod requirements · AD 2030 ESG

HELIX

At-risk (peel curve)

PFAS-free release liner

▢ Dr Stefan Koen · MG · LPM · Liner

Stage · Formulation Launch · 2027-Q1

PFAS-freelinerregulatory

Silicone-PFAS-free release coating with equivalent low-energy release. Programme-wide rip-and-replace of legacy fluorochemistry.

Drivers: EU PFAS restriction (REACH) · US state PFAS bans · EPA CDR

ORION

On-track

Cold-chain pharma RFID inlay

▢ Dr Priya Vasanthan · SG · RFID

Stage · Customer pilot (Pfizer) Launch · 2026-Q4

RFIDpharmacold-chainintelligent-labels

RAIN-RFID inlay validated for −80 °C dry-ice transit and ethylene-oxide sterilisation. Antenna geometry tuned for vial-density read.

Drivers: FDA DSCSA enforcement · Pfizer cold-chain visibility · atma.io DPP

NOVA

On-track

Linerless PSA for e-commerce

▢ Dr Hari Subramaniam · MG · LPM · HPC / Logistics

Stage · Lab validation Launch · 2027-Q2

linerlesse-commercelow-waste

Linerless PSA stack eliminating liner waste in fulfilment. Requires new release-tuned topcoat and high-speed converter compatibility.

Drivers: Amazon / shipping cost · AD waste-stream goal · Plant OEE

KAIROS

On-track

Conductive ink for RAIN RFID antennas

▢ Dr Mei-Lin Zhao · SG · RFID · Inlay R&D

Stage · Formulation Launch · 2027-Q4

RFIDconductive-inkcost

Carbon-silver hybrid conductive ink targeting 35% silver reduction with no read-range loss at typical retail UHF antennas.

Drivers: Silver cost volatility · Sub-1¢ tag economics · Sustainability

MERIDIAN

On-track

High-temp embellishment adhesive (sports apparel)

▢ Dr Rafael Pinto · SG · Embelex

Stage · Customer co-development (Nike) Launch · 2027-Q1

Embelexadhesiveapparelhigh-temp

Thermal-transfer adhesive surviving industrial steam press + 50× wash cycle for athletic apparel embellishments.

Drivers: Nike Forge programme · Adidas FUTURECRAFT · Wash 50-cycle

Filtering experiments + formulations to HELIX · PFAS-free release liner. Clear filter ✕

Experiments (1)

Experiment ID	Project	Title	Lead	Run date	Outcome	Tests / Results	ELN
`EXP-HELIX-0188`	HELIX	PFAS-free silicone release · cold-cured · liner-1.4 hypothesis · PFAS-free Wacker chemistry maintains release ≤22 g/in across 1-week ageing.	s.koen	2026-04-30T11:40:00Z	Borderline	`Release force` → 19.4 g/in [spec 0.0–22.0] PASS `Release force after 168h @70°C` → 21.9 g/in [spec 0.0–22.0] BORDERLINE	ELN ↗

Formulations (2)

Version	Project	Composition	Target	Predicted Tg	Carbon (kgCO₂e/kg)	Renewable %	Author
`HELIX-v1.4`	HELIX	95.0% · `REL-SIL-204` 5.0% · `ADD-TKF-009`	Release force ≤ 22 g/in (200 mm/min)	-120.0 °C	3.1	5.0%	s.koen
`HELIX-v1.3`	HELIX	100.0% · `REL-FSI-101`	Release force ≤ 22 g/in (200 mm/min)	-125.0 °C	2.8	0.0%	s.koen

Exhibit · Master data the AI layer sits on

Materials · Instruments · Batches

Materials master (13)

Code	Name	CAS	Supplier	Kind	Renewable %	Hazards	Cost (USD/kg)
`MON-BIO-014`	Biobased acrylate monomer · ITA-014	97-65-4	Stora Enso Biomaterials	Monomer	62.0%	clean	$6.2
`MON-ACR-002`	2-Ethylhexyl acrylate	103-11-7	BASF	Monomer	0.0%	SVHC:listed	$2.4
`MON-ACR-003`	Butyl acrylate	141-32-2	BASF	Monomer	0.0%	clean	$2.2
`ADD-TKF-007`	Tackifier resin · hydrocarbon C5	68131-77-1	Eastman	Tackifier	0.0%	clean	$3.1
`ADD-TKF-009`	Tackifier resin · biobased rosin	8050-09-7	Kraton	Tackifier	100.0%	clean	$4.45
`REL-FSI-101`	Fluoro-silicone release coating (legacy)	9006-65-9	Momentive	Release	0.0%	PFAS:listedREACH:restricted	$18.4
`REL-SIL-204`	PFAS-free silicone release · v2	63148-62-9	Wacker	Release	0.0%	clean	$22.1
`FAC-PET-r80`	Facestock · 80% rPET film	n/a	Klöckner Pentaplast	Facestock	0.0%	clean	$2.85
`FAC-PE-bio`	Facestock · biobased PE (sugarcane)	n/a	Braskem 'I'm Green'	Facestock	96.0%	clean	$3.4
`INK-AG-301`	Silver conductive ink (UHF antenna)	7440-22-4	Henkel Loctite	Ink	0.0%	clean	$220.0
`INK-AGC-310`	Carbon-silver hybrid conductive ink	blend	Sun Chemical	Ink	0.0%	clean	$142.0
`ADH-TFR-901`	Thermal-transfer adhesive (legacy)	blend	Henkel	Adhesive	0.0%	clean	$9.8
`ADH-TFR-924`	High-temp polyurethane adhesive (v2)	blend	Covestro	Adhesive	15.0%	clean	$11.2

Instruments (13)

ID	Type	Vendor / Model	Site	Calibrated through	Status
`INS-DSC-01`	DSC	TA Instruments · Discovery DSC 2500	Mentor (OH)	2026-09-30	Available
`INS-TGA-01`	TGA	TA Instruments · Discovery TGA 5500	Mentor (OH)	2026-08-15	Available
`INS-FTIR-02`	FTIR	Thermo Fisher · Nicolet iS50	Mentor (OH)	2026-11-04	Available
`INS-FTIR-03`	FTIR	Thermo Fisher · Nicolet iS50	Leiden (NL)	2026-10-12	Available
`INS-GCMS-01`	GC-MS	Thermo Fisher · ISQ 7610	Mentor (OH)	2026-07-20	In-use
`INS-LCMS-01`	LC-MS	Thermo Fisher · Orbitrap Exploris	Leiden (NL)	2026-08-30	Available
`INS-PEEL-02`	Peel-tester	ChemInstruments · AR-1500	Mentor (OH)	2026-12-01	Available
`INS-PEEL-03`	Peel-tester	ChemInstruments · AR-1500	Concord (ON)	2026-11-15	Available
`INS-CHAM-01`	Climate-chamber	Espec · PR-3KP	Mentor (OH)	2026-10-05	In-use
`INS-CHAM-02`	Climate-chamber	Espec · PR-3KP	Suzhou (CN)	2026-09-12	Available
`INS-RHEO-01`	Rheometer	Anton Paar · MCR 702	Mentor (OH)	2026-11-22	Available
`INS-UV-01`	UV-ageing	Q-Lab · QUV/spray	Mentor (OH)	2026-12-10	Available
`INS-CDA-04`	Antenna-Sim	Voyantic · Tagformance	Tilburg (NL)	2026-10-30	Available

Manufacturing batches (bridge to ERP / atma.io) (5)

Batch ID	Formulation	Plant	Qty (kg)	Produced	Status	ERP ref	atma.io lot
`BAT-FALCON-v3.2-PILOT-04`	`FALCON-v3.2`	Mentor pilot coater	120	2026-04-30	Released	SAP:000123456789	atma:adh:2026:04:9211
`BAT-FALCON-v3.2-PILOT-05`	`FALCON-v3.2`	Mentor pilot coater	240	2026-05-12	QC-hold	SAP:000123456912	atma:adh:2026:05:0114
`BAT-HELIX-v1.4-LAB-02`	`HELIX-v1.4`	Leiden R&D coater	18	2026-05-02	Lab-only	—	—
`BAT-ORION-v2.0-PROD-11`	`ORION-v2.0`	Tilburg inlay line	0	2026-04-15	Released	SAP:000122994001	atma:rfid:orion:2026:04:11
`BAT-MERIDIAN-v1.1-CD-01`	`MERIDIAN-v1.1`	Concord pilot	6	2026-04-25	Co-dev	—	—

Exhibit · Insights the SCIKIQ layer produces

What scientists + execs actually see

DUPLICATE DETECTED

Found 3 historic FALCON trials with same composition family — could have skipped v3.0.

▣ EXP-FALCON-0188/0190/0195 · Mentor 2025-Q4. Match score 0.91.

UC2 → $280k · 9 days

SUSTAINABILITY FLAG

REL-FSI-101 PFAS-restricted in EU — 4 active formulations need substitution.

▣ REACH Annex XVII update 2026-03-19. 4 formulations × 7 SKUs × 2 customers.

UC3 → Compliance risk avoided

NBE RECOMMENDED

Next Best Experiment for HELIX: trial REL-SIL-204 + 5% biobased rosin at 95:5 ratio.

▣ Bayesian posterior P(meet release-target) = 0.78 from 21 prior runs.

UC1 → 3 lab cycles · 18 days

ROOT CAUSE

Adhesive degradation in SE-Asia correlated with supplier batch L-2026-Q1-44.

▣ Lab QC drift + Vietnam climate + supplier ChangeNotice not propagated to PLM.

UC4 → −35% complaint volume forecast

KG ANSWER

Across all 'recycled PET + humidity' programmes, 5 of 7 wins used rosin tackifier.

▣ KG query over 2022–2026 PfS Experiments + Results.

UC2 → Faster scientist onboarding

REGULATORY

Substance X restricted in California 2026-06; 12 SKUs need a substitution path.

▣ Prop 65 update + PfS material composition lineage.

UC6 → Customer notification ≥90 days early

Knowledge base · search PfS + positioning + use cases