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Works from CSV or workbook exports produced from SAP, IBM Maximo, Oracle ERP, Hexagon EAM, Infor, and other ERP, EAM, or CMMS systems. No direct integration or write-back is required —
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Investor confidence layer
AI2COE Investor Reference Hub
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.
AI2COE Investor Reference Hub: This investor resource explains the Industrial IQ thesis, the eight-engine expansion path, the catalog-intelligence proof role, and the proof still required before stronger traction claims. Investor: Industrial IQ resource context for uploaded-data evidence, assumption-bound value interpretation, governance controls, and the next buyer action.
Diagnostic evidenceA non-confidential investor view of the platform thesis, eight-engine expansion model, moat, current stage, and remaining validation needs.
Recommended actionReview the platform, sample reports, pricing path, and contact AI2COE for an investor discussion.
Investor Reference Hub
A serious investor layer without unsupported traction claims.
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.
Benchmark assumptionUploaded evidenceConfidence tierHuman reviewReportable value
Private investor deck
Request the investor deck after public diligence, not as an open website download.
The full AI2COE pitch deck is treated as a private investor material because it may include fundraising structure, milestone assumptions, use-of-funds logic, scenario financials, risks, and data-room preparation notes. Public pages should show the thesis and proof boundaries; the deck should be shared only after founder review.
Suggested path for investor reference reviewer: review the public thesis, inspect sample reports and trust controls, then request the private deck or data-room discussion.
PublicThesis, problem, wedge, eight-engine expansion, trust boundary, and status boundaries.
PrivateFundraising structure, scenario model, use of funds, traction targets, data-room checklist, and investor-specific diligence notes.
GateFounder review before sharing; no public PDF link and no automatic ungated download.
Thesis, moat, MRR model, data discipline, and pilot traction template.
Investor reference
AI2COE Industrial IQ Investor One-Pager
Public investor overview of AI2COE Industrial IQ, the Industrial Decision Intelligence platform for governed diagnostics, evidence, reports, and recurring improvement visibility.
A serious market-opportunity explanation for asset-intensive operations where ERP reports, BI dashboards, and generic AI do not provide diagnostic evidence.
How catalog intelligence supports Industrial IQ across maintenance, inventory, procurement, finance, ERP readiness, reliability, readiness, and governance.
How PartsCleanse AI expands into InventoryMind AI, ProcureMind AI, FinanceMind AI, AssetMind AI, ReliabilityMind AI, ReadyMind AI, and GovernanceMind AI.
How Continuous Intelligence can create recurring value through monthly or quarterly uploads, score history, action tracking, benchmark comparison, and renewal value reports.
How source-fit scoring, mappings, diagnostic patterns, evidence models, and score history can strengthen the product over time without overclaiming private-data ownership.
A non-confidential investor framework for how funding could support product hardening, security, sales motion, documentation, research, and customer proof.
A template for tracking pilot source, industry, engine, upload, report, evidence reviewed, value hypothesis, objections, conversion, and expansion signal.
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.
Evaluation resource map
Turn documentation into a guided evaluation path.
Resources and docs should help reviewers move from methodology to templates, proof format, trust review, and pilot decision without hunting through long text blocks.