Compatible with SAP  ·  IBM Maximo  ·  Oracle ERP  ·  Hexagon EAM  ·  Infor  ·  Any CMMS — Run an Industrial IQ diagnostic →
Investor Readiness

A diagnostic-first wedge for governed 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.

Public investor narrative

Industrial AI adoption needs evidence before transformation.

AI2COE is building Industrial IQ as a governed diagnostic platform for asset-intensive operations. The initial wedge is PartsCleanse AI because MRO catalog quality connects directly to maintenance readiness, inventory exposure, procurement leakage, finance review, ERP readiness, and AI readiness.

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 boundaryNo fake traction, no fake certifications
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.
WedgePartsCleanse AI starts with MRO catalog diagnostics 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

PartsCleanse AI is the wedge. Eight diagnostic engines create the 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, confidence tiering, human review, auditability, and no-write-back governance.

View engine
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.
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.

AI2COE Copilot