Investor reference materials for AI2COE Industrial IQ covering the platform thesis, catalog-intelligence proof role, eight-engine expansion, MRR model, benchmark moat, data moat, use of funds, and pilot traction template.
These resources explain why Industrial IQ is the platform, how all eight engines create expansion paths, how PartsCleanse AI contributes catalog-intelligence proof, how documentation supports adoption, and what proof still needs to be validated.
The full AI2COE pitch deck is treated as private investor material because it may include fundraising structure, milestone assumptions, use-of-funds logic, scenario financials, risks, and data-room preparation notes. Public investor pages show the thesis and proof boundaries; the deck is shared only after founder review.
MRO catalog deduplication, field quality, UOM consistency, and duplicate capital exposure.
View engineDead stock, slow-moving stock, excess, stockout risk, and duplicated stock exposure.
View engineEmergency procurement, stocked-but-purchased events, repeated buys, supplier alias risk, and price variance.
View engineDuplicate capital exposure, carrying cost, emergency premium, and recoverable value scenarios.
View engineAsset-to-part linkage, critical spare coverage, obsolete asset spares, and plant risk heatmaps.
View engineWork-order spare availability, false stockout risk, repeat demand, and shutdown readiness.
View engineERP data quality, governance readiness, operational readiness, and first-use-case recommendation.
View engineEvidence traceability, review-level assignment, owner approval, auditability, and no-write-back governance.
View enginePublic investor overview of AI2COE Industrial IQ, the Industrial Decision Intelligence platform for governed diagnostics, evidence, reports, and recurring improvement visibility.
Open documentationWhy Industrial IQ is positioned as a governed Industrial Decision Intelligence platform instead of a single catalog-cleanup tool.
Open documentationA serious market-opportunity explanation for asset-intensive operations where ERP reports, BI dashboards, and generic AI do not provide diagnostic evidence.
Open documentationHow catalog intelligence supports Industrial IQ across maintenance, inventory, procurement, finance, ERP readiness, reliability, readiness, and governance.
Open documentationHow PartsCleanse AI expands into InventoryMind AI, ProcureMind AI, FinanceMind AI, AssetMind AI, ReliabilityMind AI, ReadyMind AI, and GovernanceMind AI.
Open documentationHow Continuous Intelligence can create recurring value through monthly or quarterly uploads, score history, action tracking, planning comparison, and renewal value reports.
Open documentationHow analyst-grade benchmarks, methodology pages, assumptions, limitations, and uploaded-data replacement logic create research authority.
Open documentationHow source-fit scoring, mappings, diagnostic patterns, evidence models, and score history can strengthen the product over time without overclaiming private-data ownership.
Open documentationA non-confidential investor framework for how funding could support product hardening, security, sales motion, documentation, research, and customer outcome evidence.
Open documentationA template for tracking pilot source, industry, engine, upload, report, evidence reviewed, value hypothesis, objections, conversion, and expansion signal.
Open documentation| No fake traction | No logos, customer results, certifications, revenue, or investor commitments are claimed without approval. |
|---|---|
| Evidence available | Public product pages, documentation, sample reports, methodology, trust controls, and diagnostics are available for review. |
| Proof still required | Customer-approved pilots, conversion metrics, retention, ACV, enterprise security acceptance, and legal-reviewed data-room evidence remain the next proof layer. |
Resource review reduces friction: what data is needed, how reports look, how evidence is reviewed, and which route the buyer can take next.
Implementation leads, data owners, procurement reviewers, and product champions.
Required fields, CSV templates, user manuals, buyer guides, sample reports, diagnostic scenarios, and trust controls.
A prepared evaluation path that leads to sample proof, data templates, upload, or a scoped diagnostic discussion.
Read-only diagnostics, no ERP write-back, source-file purge after report generation, and human review before action.