CSV/workbook exports from ERP, EAM, CMMS, inventory, procurement, asset, and maintenance systems. No ERP write-back.
Proof controls buyers expect before they upload operational data.
Show the buyer the workflow before asking for data.
These illustrative UI previews make Industrial IQ tangible: upload, mapping, evidence, score, report, and governed actions are visible before a private file is uploaded.
AI-assisted column matching exposes required fields, optional fields, source-fit score, and data readiness before the run.
Findings show source row, matched record, reason code, confidence, business impact, and reviewer status.
Score cards separate duplicate risk, source-fit, capital exposure band, and action priority.
Diagnose what the data proves before funding transformation.
Industrial IQ is not ERP, EAM, MDM, source-to-pay, APM, BI, consulting, or enterprise AI governance. It sits before those decisions and shows which records, assets, spares, supplier patterns, inventory exposures, and governance gaps need review.
Route global buyer questions to the right diagnostic owner.
Quantify working-capital exposure
Working-capital exposure, inventory carrying cost, duplicate capital, and recoverable value.
Assess operating risk
Downtime exposure, false stockouts, critical-spare readiness, and site-level operating risk.
Check data readiness
ERP migration readiness, material master quality, exportability, and no-write-back safety.
Detect procurement leakage
Duplicate buying, emergency purchases, supplier fragmentation, and industrial spend leakage.
Improve spares readiness
Work-order spare readiness, critical-spare coverage, asset-to-part linkage, and shutdown readiness.
Assess material master quality
Field completeness, duplicate records, SAP/Maximo/Oracle readiness, and cleanup priority.
Start from exported operational data.
Most diagnostics can start from exported data files rather than a production integration project. Required fields depend on the engine and buyer question.
Evidence, scores, reports, and action ownership.
Outputs are designed for buyer committees, not only analysts. Findings are confidence-tiered and routed for human review before action.
Priority regions and countries.
United States
Manufacturing, utilities, data centers, fleet, healthcare, and campus operations.
Regional operating contextCanada
Oil and gas, mining, utilities, manufacturing, pulp and paper, rail, and data-center operations.
Regional operating contextMexico
Automotive, aerospace, food, pharma, utility, logistics, and industrial-park manufacturing networks.
Regional operating contextEurope
Governed diagnostics for manufacturing, utilities, pharma, rail, aviation, and data centers.
Regional operating contextGCC
Oil, gas, petrochemicals, utilities, ports, aviation, logistics, district cooling, mining, and infrastructure.
Regional operating contextMiddle East
Oil, gas, petrochemicals, utilities, ports, aviation, mining, and infrastructure operations.
Regional operating contextAfrica
Mining, energy, utilities, ports, logistics, manufacturing, water, healthcare, telecom, and infrastructure.
Regional operating contextUAE
Ports, logistics, construction fleets, utilities, data centers, manufacturing, and energy.
Regional operating contextSaudi Arabia
Oil, gas, petrochemicals, mining, utilities, manufacturing, construction, and infrastructure.
Regional operating contextQatar
Energy, utilities, ports, infrastructure, data centers, and maintenance-readiness diagnostics.
Regional operating contextAustralia
Mining, LNG, utilities, rail, ports, water infrastructure, food, and data-center operations.
Regional operating contextSingapore
Ports, aviation MRO, advanced manufacturing, pharma, data centers, utilities, and facilities.
Regional operating contextJapan
Automotive, electronics, advanced manufacturing, utilities, rail, pharma, robotics, and data centers.
Regional operating contextSouth Korea
Semiconductors, electronics, shipbuilding, automotive, steel, petrochemicals, ports, and utilities.
Regional operating contextThailand
Automotive, electronics, petrochemicals, food, utilities, ports, logistics, and industrial estates.
Regional operating contextVietnam
Electronics, industrial manufacturing, food, energy, utilities, ports, and industrial parks.
Regional operating contextPhilippines
Electronics, utilities, transport infrastructure, ports, water, food, healthcare facilities, and industrial estates.
Regional operating contextNorway
Offshore energy, oil and gas, maritime, utilities, process industry, and data centers.
Regional operating contextSweden
Advanced manufacturing, mining, utilities, rail, pulp and paper, data centers, and engineering.
Regional operating contextNew Zealand
Food, agribusiness equipment, utilities, water infrastructure, ports, manufacturing, and healthcare facilities.
Regional operating contextBelgium
Biopharmaceuticals, chemicals, ports, logistics, energy infrastructure, data centers, and advanced manufacturing.
Regional operating contextIreland
Pharma, medtech, data centers, energy, smart grids, food, advanced manufacturing, and healthcare facilities.
Regional operating contextDenmark
Pharma, food, maritime, wind energy, utilities, manufacturing, data centers, and district heating.
Regional operating contextFinland
Pulp and paper, mining, utilities, ports, manufacturing, data centers, food, and industrial services.
Regional operating contextSwitzerland
Pharma, precision manufacturing, food, utilities, rail, data centers, and healthcare facilities.
Regional operating contextAustria
Manufacturing, machinery, automotive suppliers, rail, utilities, pulp and paper, pharma, and logistics.
Regional operating contextMalaysia
Oil and gas, petrochemicals, electronics, utilities, ports, food, and data-center operations.
Regional operating contextIndonesia
Mining, energy, utilities, pulp and paper, manufacturing, ports, and heavy equipment.
Regional operating contextPortugal
Ports, logistics, manufacturing, utilities, renewables, food, pharma, data centers, and industrial services.
Regional operating contextIsrael
Advanced manufacturing, pharma, utilities, water infrastructure, ports, logistics, data centers, and healthcare facilities.
Regional operating contextMorocco
Automotive, aerospace, ports, logistics, mining, utilities, renewables, food, and industrial parks.
Regional operating contextKenya
Ports, logistics, utilities, manufacturing, food processing, healthcare facilities, infrastructure, and energy.
Regional operating contextColombia
Oil and gas, mining, power, utilities, infrastructure, ports, water, manufacturing, and industrial services.
Regional operating contextArgentina
Oil and gas, lithium and mining, renewables, agribusiness, utilities, manufacturing, and logistics.
Regional operating contextNigeria
Oil and gas, mining, power, ports, logistics, manufacturing, and industrial services.
Regional operating contextChile
Mining, utilities, ports, logistics, energy, pulp and paper, food, and manufacturing.
Regional operating contextTurkey
Automotive, machinery, rail, ports, logistics, energy, chemicals, aerospace, and warehousing.
Regional operating contextEgypt
Oil and gas, petrochemicals, Suez corridor logistics, manufacturing, power, utilities, mining, and water.
Regional operating contextSouth Africa
Mining, utilities, manufacturing, rail, ports, logistics, food, and industrial services.
Regional operating contextGermany
Manufacturing, SAP material master readiness, utilities, chemicals, rail, pharma, and data centers.
Regional operating contextUnited Kingdom
Utilities, rail, manufacturing, aviation MRO, healthcare estates, oil and gas, and data centers.
Start with industries where MRO data quality affects uptime, capital, and procurement.
Construction equipment MRO diagnostics
Heavy-equipment spares, depot inventory, emergency buys, duplicate parts, and critical-spare readiness.
High-demand industry pathData center critical-spares readiness
UPS, generator, cooling, electrical, and facilities spares tied to uptime-sensitive operations.
High-demand industry pathOil and gas MRO data cleansing
Shutdown readiness, duplicate materials, remote-site stockout risk, and emergency procurement.
Direct answers for buyers and answer engines.
What is global Industrial Decision Intelligence?
It is AI2COE's diagnostic approach for turning exported operational data into evidence, scores, reports, and actions before cleanup, ERP migration, inventory action, procurement change, or industrial AI adoption.
Does Industrial IQ require ERP integration?
No. Industrial IQ starts from exported operational data such as CSV or Excel files and does not write back to ERP, EAM, CMMS, procurement, inventory, or finance systems.
Which regions are prioritized?
The current regional architecture covers the United States, Canada, Mexico, Europe, GCC, Middle East, Africa, India, Brazil, Asia-Pacific, LATAM, and 119 regional or country operating contexts where the page can be useful without unsupported local-claim language.
Are source files retained?
Uploaded source files are processed to generate the diagnostic report pack and then purged. Summary metrics and audit metadata may be retained for governance.
Choose the next step that matches your buying stage.
Industrial IQ is designed for evidence-first buyers. Review sample proof, run a bounded Snapshot, align the buyer committee, or request a founder-led diagnostic pilot when the operating problem is ready for review.
See what the report looks like before sharing internal data.
Have a data export Request Regional Diagnostic ReviewStart with an export-first diagnostic path and no ERP write-back.
Need committee alignment Download Buyer Evaluation GuideGive finance, operations, procurement, ERP, security, and maintenance the same evaluation frame.
Ready for review Request Founder-Led PilotAsk for a founder-led pilot review when the problem has an owner and source data is available.
Use this page to evaluate Global operating context without inventing local proof.
Regional evaluation stays locally useful while keeping claims evidence-safe: no invented offices, unverified customer presence, certifications, or dominance claims.
Regional executive sponsors, industrial operators, procurement teams, and ERP/data owners.
Local industry mix, operating systems, source exports, buyer roles, engine fit, data handling concerns, and trust review needs.
A region-specific diagnostic path that points to engines, sample reports, buyer review, and contact without changing the platform promise.
Read-only diagnostics, no ERP write-back, source-file purge after report generation, and human review before action.