Compatible with SAP  ·  IBM Maximo  ·  Oracle ERP  ·  Hexagon EAM  ·  Infor  ·  Any CMMS — Review data requirements →
Investor Readiness Brief

A governed eight-engine platform for industrial AI adoption.

AI2COE Industrial IQ is designed around a practical thesis: industrial AI programs need trusted operational evidence, quantified exposure, human review, and governance before automation scales.

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PlatformIndustrial IQ
Expansion8 diagnostic engines
BoundaryNo unsupported traction claims
Executive takeaway

Decision summary

AI2COE Investor Teaser: Use this decision brief to connect the operating question, available source data, evidence expected, review boundary, and next Industrial IQ action. Public investor teaser for AI2COE Industrial IQ with platform thesis, business model, status boundaries, moat hypothesis, and proof still needed.

Run Industrial IQ Snapshot
Who should use itThe buyer or operating owner responsible for the risk described on this page.
Data requiredOperational CSV exports, item master fields, inventory, procurement, asset, work-order, finance, readiness, or governance data depending on the page.
Output producedSource-backed evidence, scores, confidence tiers, report outputs, action tracking, score history, and governance context.
Best next stepRun Industrial IQ Snapshot and select the diagnostic engine that matches the operating question.
Public investor narrative

Industrial AI adoption needs evidence before transformation.

AI2COE is building Industrial IQ as a governed diagnostic platform for asset-intensive operations. PartsCleanse AI contributes catalog-intelligence proof, while InventoryMind AI, ProcureMind AI, FinanceMind AI, AssetMind AI, ReliabilityMind AI, ReadyMind AI, and GovernanceMind AI extend the same evidence model into the operating decisions that follow.

This page is intentionally non-confidential. It explains the thesis, product architecture, and readiness posture without exposing financials, claiming unaudited customer results, or presenting certifications that have not been completed.

MissionEvidence Before Transformation
CategoryIndustrial Decision Intelligence
Business modelSnapshot, diagnostic, pilot, recurring intelligence
Proof boundaryTraction and certification claims are published only when documented.
Decision matrix

What leadership should understand before acting.

Market problemIndustrial AI adoption is slowed by poor operational data quality, weak governance, and unclear value proof.
Catalog proof rolePartsCleanse AI handles MRO catalog diagnostics inside Industrial IQ because catalog trust connects maintenance, inventory, procurement, finance, ERP readiness, and AI readiness.
ExpansionIndustrial IQ expands into inventory, procurement, finance, asset, reliability, readiness, and governance diagnostics.
Moat directionEvidence models, benchmark discipline, governance language, industry packs, score history, and recurring diagnostic workflows.
Business modelFree Snapshot, paid diagnostic, pilot, continuous intelligence, and enterprise multi-site expansion.
What still needs proofPaid pilot volume, conversion rates, customer-approved outcomes, ACV, retention, and enterprise security acceptance.
Industrial IQ platform architecture

Eight diagnostic engines create the Industrial IQ platform.

Catalog Intelligence

PartsCleanse AI

MRO catalog deduplication, field quality, UOM consistency, and duplicate capital exposure.

View engine
Inventory Risk Intelligence

InventoryMind AI

Dead stock, slow-moving stock, excess, stockout risk, and duplicated stock exposure.

View engine
Procurement Leakage Intelligence

ProcureMind AI

Emergency procurement, stocked-but-purchased events, repeated buys, supplier alias risk, and price variance.

View engine
Working Capital Intelligence

FinanceMind AI

Duplicate capital exposure, carrying cost, emergency premium, and recoverable value scenarios.

View engine
Asset-to-Part Intelligence

AssetMind AI

Asset-to-part linkage, critical spare coverage, obsolete asset spares, and plant risk heatmaps.

View engine
Maintenance Readiness Intelligence

ReliabilityMind AI

Work-order spare availability, false stockout risk, repeat demand, and shutdown readiness.

View engine
AI Readiness Intelligence

ReadyMind AI

ERP data quality, governance readiness, operational readiness, and first-use-case recommendation.

View engine
Evidence Governance Intelligence

GovernanceMind AI

Evidence traceability, review-level assignment, owner approval, auditability, and no-write-back governance.

View engine
Investor teaser

Industrial companies need trusted operational evidence before AI, ERP, MDM, and inventory transformation can scale.

Industrial IQ is built around a diagnostic wedge: start with exported operational data, produce source-backed evidence, route findings through human review, and turn the result into a repeatable score, report, action, and recurring intelligence model.

PartsCleanse AI is the first catalog-intelligence proof wedge. The platform expansion extends the same governed pattern across inventory risk, procurement leakage, working capital, asset-to-part intelligence, maintenance readiness, AI readiness, and evidence governance.

Business model
Free SnapshotLow-friction entry for sample or limited diagnostic proof.
Fixed-fee diagnosticScoped proof-of-value engagement with evidence and executive report.
Continuous IntelligenceRecurring score history, action tracking, and review cadence.
Enterprise IntelligenceMulti-site and multi-engine rollup where governance and value are proven.
Moat hypothesis

The durable value should come from diagnostic methodology, evidence models, and buyer trust.

  • engine-specific data templates and source-fit logic
  • industrial evidence models across catalog, inventory, procurement, finance, asset, reliability, readiness, and governance domains
  • score history, action tracking, and renewal value reporting
  • industry-specific benchmark structure separated from uploaded-data findings
  • trust-first adoption model: no ERP write-back, source-file purge, confidence tiers, and human review
What needs proof next
Paid pilotsConvert founder-led diagnostic demand into documented paid engagements.
Recurring conversionShow that score history and action tracking support renewals.
Customer-approved proofPublish named or approved anonymized case evidence when permitted.
Security maturityProgress certification, monitoring, and enterprise review controls.
Investor diligence posture

What is ready and what still needs validation.

ReadyProduct architecture, docs center, sample datasets, sample reports, engine routes, trust language, investor pack outline, metrics spec, data-room checklist.
Needs validationPaid pilot conversion, customer-approved outcomes, ACV, sales cycle, retention, expansion motion, and security-review acceptance.
Next investor actionRequest a private data-room review after founder approval.
Status boundaries

What this public investor page does not claim.

No SOC 2 Type II claimCertification is not claimed unless completed and documented.
No named customer ROI claimCustomer results require approved proof before publication.
No autonomous ERP remediationIndustrial IQ remains diagnostic-first and governance-first.
No replacement claimIndustrial IQ does not replace ERP, MDM, EAM, S2P, APM, BI, consulting, or enterprise AI governance platforms.
Evaluation assets

Proof, templates, trust, and pilot paths for serious buyers.

Enterprise evaluation asset

View Sample Reports

Inspect evidence, score, report, and action outputs before upload.

 Enterprise evaluation asset

Download Buyer Evaluation Guide

Use the buyer committee, technical, procurement, and security review checklist.

 Enterprise evaluation asset

Download Data Templates

Prepare starter CSV structures for all eight Industrial IQ engines.

 Enterprise evaluation asset

View Security Brief

Review hosting, access, retention, DPA, SLA, SOC 2 roadmap, and no-write-back controls.

 Enterprise evaluation asset

Request Founder-Led Pilot

Scope a low-risk diagnostic engagement before transformation spend.

Public proof assets

Sample outputs a public investor or enterprise evaluator can inspect before sharing private data.

These assets use synthetic public sample data. Customer screenshots, customer logos, real results, security questionnaires, and data-room artifacts require written approval before external use.

PDF download

PartsCleanse AI sample executive report

Review the report structure, evidence framing, assumptions, limitations, confidence tiers, and leadership summary.

 Browser preview

Interactive sample diagnostic

Inspect how Industrial IQ presents score, evidence, action context, and no ERP write-back governance.

 Sample CSV

Sample dataset for trial evaluation

Use a synthetic file to test the upload, mapping, validation, and sample diagnostic journey.
View All Sample Reports View Sample Datasets
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