Solution

Asset Intelligence Platform

For maintenance, reliability, and asset management leaders in heavy industry: one validated record per asset, built from the ERP, logs, sensors, and spreadsheets you already run.

Maintenance logsERP asset registersInspection recordsCertificationsSensor telemetry
One record per asset, across every system100% of attributes traced to originPredictive maintenance instead of run-to-failure

The problem

Why this exists

Scattered

Five systems, no answer

Condition readings sit in SCADA, purchase records in the ERP, inspection results on paper, and the rest in spreadsheets. No single view is complete.

Run-to-failure

Maintenance by surprise

Without unified condition data, failures are discovered when the machine stops — emergency scheduling, expedited parts, lost production.

Ghost assets

Registers you cannot trust

Duplicates, assets nobody can locate, and certifications that surface only when an auditor asks for them.

The product, not a promise

An asset record you can interrogate

Asset Intelligence Platform — workspace
Asset master record deduplicated across ERP and CMMSOne recordcited
Lifecycle history — operations, maintenance, component changesCompletecited
Certification status with source document attachedCurrentcited
Performance deviation on drive unit — review before failureverify
CMMS work order created from diagnostic thresholdTriggeredcited
HUMAN-APPROVED BEFORE IT POSTS

How it works

File in. Answer out.

  1. 1

    Ingest

    Pull asset data from ERP, maintenance logs, IoT sensors, inspection records, and spreadsheets.

  2. 2

    Standardize

    Normalize formats, remove duplicates, and validate critical attributes against expected values.

  3. 3

    Link

    Cross-reference every asset record to its origin system and document, so lineage is never lost.

  4. 4

    Monitor

    Watch utilization, lifecycle stage, and performance deviations that signal failure weeks ahead.

  5. 5

    Act

    Trigger CMMS work orders automatically when diagnostic thresholds are breached.

Who it's for

Built for the people who own the outcome

Maintenance planner

Planned work replaces emergency calls.

  • Performance deviations flagged weeks before failure
  • Work orders created in the CMMS from diagnostic thresholds
  • Spare parts aligned to predicted demand, not blanket safety stock

Reliability / asset manager

Capital decisions made on actual asset condition.

  • Fleet-wide utilization and lifecycle dashboards
  • Ghost assets and duplicates removed from the register
  • Complete lifecycle history per asset, in one place

Compliance / EHS

Audit questions answered from the record.

  • Inspection records and certifications in the same governed archive
  • Every attribute traced to the reading or entry behind it
  • Compliance gaps visible across the fleet, not discovered on site
ManufacturingEnergy & utilitiesOil & gasMiningTransportationChemicalsFacilities
One recordper asset, across every system
100%of attributes traced to origin
Weeksof warning before failure signals
Predictivemaintenance instead of run-to-failure

Asset-heavy operations run on fragmented data. Condition readings sit in SCADA, purchase records in the ERP, inspection results on paper, and the rest in spreadsheets. The result is familiar: run-to-failure maintenance, ghost assets nobody can locate, duplicate procurement, and certifications that surface only when an auditor asks. The Asset Intelligence Platform turns those scattered sources into one governed asset record.

One governed source of truth

The platform ingests asset data from ERPs, maintenance logs, IoT sensor feeds, inspection records, and spreadsheets, then standardizes formats, removes duplication, and validates critical attributes. Every record is cross-referenced to its origin — the system, log, or document it came from — so any figure on a dashboard can be traced back to the reading or entry behind it. On top of that record, teams get a complete lifecycle history per asset: operations, maintenance events, and component changes in one place, instead of reconstructed from tribal knowledge when a machine goes down.

From reactive to predictive

With unified condition and usage data, the platform detects performance deviations that precede failure — often weeks ahead — so maintenance is planned rather than emergency-scheduled. When a diagnostic threshold is breached, a CMMS work order is triggered automatically. Spare parts inventory aligns to predicted demand instead of blanket safety stock, cutting both stockouts and excess. Real-time dashboards show utilization, lifecycle stage, and compliance gaps across the fleet, so capital decisions are made against actual asset condition rather than fixed schedules.

Asset decisions carry safety, compliance, and capital consequences, and the record has to hold up to all three. Inspection records and certifications live in the same governed archive as operational data, so audit questions are answered from the record — while the ERP and CMMS stay in place as the operational systems they already are.

Objections, answered

What teams ask us first

How do I trust an attribute in the unified record?

Every record is cross-referenced to its origin — the system, log, or document it came from. Any figure on a dashboard traces back to the reading or entry behind it, and conflicting values are flagged for review rather than silently merged.

Does this replace our ERP or CMMS?

It runs alongside them. The ERP and CMMS stay in place as your operational systems; the platform consolidates and validates their data, and writes actions — like work orders — back through the CMMS you already use.

What does this give an auditor?

Inspection records and certifications live in the same governed archive as operational data, each traced to origin. Audit questions are answered from the record, so compliance reviews stop triggering a scramble across sites.

How long before we see value?

The platform builds on data you already produce, so the first deliverable — a deduplicated, validated register with lineage — arrives without new instrumentation. Predictive monitoring deepens as condition history accumulates.

Bring your worst asset register.

Watch the platform consolidate a fragmented register into one validated record, with every attribute traced to its origin.

Request a demo