Maintenance system
P-2047 — Slry Pmp Cyclone Feed
Mining companies have asset data everywhere, but no trusted understanding across it. DataVein resolves equipment identity, meaning, and history across fragmented systems — creating a reliable foundation for maintenance, reliability, analytics, and AI.
Early-stage product development and industry validation.
The equipment-identity problem
The same pump can look different in every system. DataVein identifies which records describe the same equipment, asks a person when the answer is uncertain, and preserves the evidence behind the result.
Illustrative equipment example
Maintenance system
P-2047 — Slry Pmp Cyclone Feed
Inventory system
PUMP-CF-07
Condition monitoring
CFP_07
Site spreadsheet
Cyclone Feed Pump #2
OEM documentation
8/6F-AH — Serial SP-88341
4 matched automatically
1 confirmed by a person
One trusted equipment record
Every answer can be traced back to its source. Uncertainty is shown, not hidden.
What DataVein does
DataVein is a mining-specific asset-data intelligence layer that establishes trusted equipment identity, meaning, provenance, and context across fragmented enterprise and site systems.
Works with the systems, files, and local records mining companies already use.
Interprets mining terminology, identifiers, descriptions, and relationships using equipment, maintenance, and site context — not keyword matching alone.
Preserves provenance, evidence, confidence, conflicts, and human review.
Builds resolved equipment records that can connect parts, work history, and site learning.
Mining-specific by design
Mining has its own equipment structures, OEM terminology, maintenance practices, and site-level language. DataVein is being built around that reality — spanning mobile fleets, fixed plant, asset hierarchies, maintenance records, OEM data, and acquisition-driven fragmentation.
DataVein orchestrates understanding first — and action second.
Vendor-neutral coexistence
DataVein sits across heterogeneous environments, including SAP, Maximo, Oracle, fleet platforms, OEM information, spreadsheets, and local site systems. It does not require a mining company to select a new system of record before creating shared asset understanding.
EAM, ERP, fleet, OEM, files, and site tools
Trusted identity, meaning, provenance, and context
Maintenance, reliability, analytics, and AI
Trust is explicit
Every resolved identity, attribute, and relationship retains its source, evidence, and confidence. Conflicting information is made visible, and ambiguous conclusions are routed for human review rather than hidden behind an AI answer.
DataVein is engaging with mining operators, maintenance and reliability professionals, supply-chain leaders, and technology experts to validate the problem and shape the initial product. If fragmented asset data is limiting your organization — or you have perspective on the problem — we would value the conversation.
Your information will be used to respond to your enquiry.