Clean equipment registers.EAM-ready.
Turn unstructured mine site equipment data into clean, EAM-ready records. Struktive normalises OEM names, parses mine hierarchy locations, classifies every asset, and scores data quality — so your team imports clean data on the first attempt.
No account required. First 350 records free.
OEM aliases resolved automatically
+ P&H → Komatsu · Bucyrus → Caterpillar · Atlas Copco → Epiroc · Joy Global → Komatsu · Outotec → Metso Outotec
One normalisation engine. Five outcomes.
The same pipeline that classifies and normalises your assets produces different outputs depending on what you need to accomplish.
From spreadsheets to platform-ready in minutes
Submit unstructured mine site equipment data in any format. Struktive normalises OEM names, parses mine hierarchy locations, classifies every asset, and produces a validated import file for IBM Maximo, SAP PM, Hexagon EAM, or Infor EAM. Pre-flight validation tells you exactly what will import cleanly before you touch your EAM.
- Maximo CSV with ASSETNUM, SITEID, CLASSSTRUCTUREID validated
- SAP PM Equipment Master via LSMW or BAPI_EQUI_CREATE
- Hexagon EAM CSV with EQUIPMENT, CLASS, ORGANIZATION validated
- Infor EAM CSV with EQUIPMENT_CODE, EQUIPMENT_CLASS, ORGANIZATION validated
- Pre-flight report: missing serials, unresolved manufacturers, location gaps
- Quality score per record — flags records needing attention before import
¹ Mainstream Industrial Asset Management Technology Investment Report 2026, n = 506 ANZ maintenance and reliability professionals.
A seven-stage pipeline that runs in seconds
Every record passes through the same deterministic pipeline. No black boxes — every transformation is logged.
CSV Pre-processing
Preamble detection, column mapping, resilient parsing. Handles real-world quoting, encoding, and mixed-format mine register exports.
OEM Name Resolution
400+ alias rules plus acquisition history. P&H→Komatsu, Bucyrus→Caterpillar, Atlas Copco→Epiroc, Joy Global→Komatsu.
Mine Hierarchy Parsing
Extracts Open Pit / Level / Zone / Area / Bench from any free-text format. Surface and underground schemas supported.
Asset Classification
12 equipment categories: Haul Truck, Electric Shovel, Drill Rig, Dozer, LHD, Crusher, Mill, and more. Keyword rules handle 80% instantly.
EAM Enrichment
Validates against 1,200+ equipment models. Adds power ratings (kW / hp / L·hr), payload capacity (tonnes), and CLASSSTRUCTUREID automatically.
Duplicate Detection
Fuzzy serial matching, exact tag matching, OEM+model+location flagging. Configurable thresholds for mine-site naming conventions.
Quality Scoring
0–100 score per record across seven factors: completeness, consistency, confidence, location depth, and more. Every record scored before export.
Two pressures. One dataset.
Mine operators face both asset management and sustainability regulations simultaneously. Struktive maintains the asset layer that both functions need.
Structured asset registers on classification, condition, location, and maintenance history are a core ISO 55001 requirement. Struktive produces a register that satisfies asset identification and data quality obligations out of the box.
Equipment classification, power ratings (kW / hp / L·hr), and payload capacity (tonnes) are extracted and structured for GHG Protocol Scope 1 & 2 reporting, TCFD physical risk disclosure, and SASB metals & mining standard metrics.
Global Mine Site Provenance Pack
Regulators, lenders, and ESG auditors are asking mining operators to prove where their major equipment came from. Struktive generates a tamper-evident provenance document directly from your existing equipment register — no manual data preparation required.
OFAC, UK OFSI, and EU consolidated sanctions lists now extend to equipment manufactured in or transiting through restricted jurisdictions. Without a documented supply chain, operators cannot demonstrate compliance.
Green bonds and ESG-linked loan facilities increasingly require borrowers to demonstrate supply chain transparency. Lenders are asking for manufacturer origin documentation as a condition of drawdown.
CEAA-2012 project descriptions, NI 43-101 technical reports, and JORC Code disclosures all require structured equipment and supply chain data. Struktive pre-populates the fields these submissions need.
What the pack contains
QP Equipment Schedule — sample output
Download a 30-row sample of the Struktive NI 43-101 QP Equipment Schedule export. The 18-column CSV includes ISO 14224:2016 class codes, FLOC hierarchy, and Qualified Person sign-off fields — accepted by TSX, ASX, and NYSE American listing requirements.