Ai Viral
Freemium
Indie SaaS founders shipping with tools like Lovable or Cursor
ERP data quality reports that take weeks to produce, require IT involvement, and still leave procurement sponsors asking 'but what does this mean for our budget?' — that's the gap Industrial IQ was built to close.
Industrial IQ accepts exports from SAP, Maximo, Oracle, and other CMMS platforms, runs read-only diagnostics across eight specialized engines covering catalog quality, inventory risk, procurement leakage, working capital, and AI readiness, then returns scored reports with traceable evidence — without touching the source system. Source files are purged after report generation, and a human review step sits between the diagnostic output and any action. The workflow is organized by decision-maker role rather than product module, so a CFO lands on FinanceMind AI and InventoryMind AI without needing to decode the full engine family first. The ceiling appears when teams need real-time monitoring or want to feed diagnostic outputs directly into ERP remediation workflows — neither is supported without the paid Continuous tier, and write-back is explicitly out of scope by design.
Bottom line: Pick this when a finance or procurement sponsor needs evidence-backed scores from an ERP export before committing to a data cleanup program; plan a different architecture when your team needs automated remediation or live operational monitoring.
Confirm the operating question, likely engine, and proof format before budget approval. Free sample or limited upload with no credit card required.
Fixed-fee diagnostic plan scoped by engine, data volume, and review depth. Proof of value engagement with mapped data validation and executive report.
Recurring monthly or quarterly uploads with score history, trend comparison, and action tracking for ongoing operating value.
Expansion ARR for all engines and multi-site rollup with governance exports, benchmark reports, and audit evidence packs.
View full pricing on ai2coe.com →
Pricing may have changed since last verified. Check the official site for current plans.
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Freemium
Indie SaaS founders shipping with tools like Lovable or Cursor
Freemium
Marketing teams running social ad campaigns
Industrial IQ runs read-only diagnostics on uploaded operational data files — material masters, inventory balances, purchase orders, work orders, asset registers — and returns scored reports, traceable evidence, and prioritized actions across eight AI engines: PartsCleanse AI for catalog deduplication, InventoryMind AI for inventory risk, ProcureMind AI for procurement leakage, FinanceMind AI for trapped working capital, AssetMind AI for asset-to-part linkage, ReliabilityMind AI for maintenance readiness, ReadyMind AI for AI readiness, and GovernanceMind AI for evidence governance. The core workflow is upload, diagnose, review — no ERP credentials, no write-back, no system integration required to start.
The trust boundary is the differentiating design choice. Source files are purged after report generation, a human review step precedes any action, and the vendor states that no ERP write-back occurs at any tier. For organizations where security or legal review is a prerequisite to touching operational data with a third-party tool, this architecture removes the primary objection before procurement starts.
Industrial IQ fits asset-intensive operations — oil and gas, mining, manufacturing, utilities, aviation MRO, fleet, ports — where a CFO, CPO, COO, or CIO needs scored evidence to justify a remediation investment, not a consultant’s slide deck. It fits worst at the stage after the evidence exists: teams that need to act on findings at scale, automate remediation, or monitor data quality continuously against live ERP state will exhaust what a file-upload diagnostic model can deliver. The paid-only Continuous tier addresses recurring monitoring, but automated ERP correction remains outside the platform’s stated scope by design.
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