Mining
Truck HT-07 · Tire pressure trending low
Link fleet and plant telemetry to maintenance history to track down downtime, fuel waste, and failing components.
An Industrial Data Platform
MineLogX puts asset data, maintenance records, and technical documents in one workspace, so your team can go from ‘something’s wrong’ to ‘here’s why, and here’s what to do first.’
Representative interface with demo data.
Same problem, every industry
Truck HT-07 · Tire pressure trending low
Link fleet and plant telemetry to maintenance history to track down downtime, fuel waste, and failing components.
Boom cylinder · Seal wear flagged
Pull equipment condition, service records, and project documents together to plan maintenance around the work.
Transformer T2 · Bushing temp high
Open the drawing, inspection record, and latest test result right next to the asset alert.
What needs attention. Why. What to do next.
Why MineLogX
Built in mining and designed for any asset-intensive operation: a clearer daily workflow for operators, and the controls, interoperability, and deployment flexibility technology leaders expect.
Replace scattered telemetry, maintenance records, and technical documents with one decision workspace.
Bring anomalies, risk indicators, and priority alerts forward so teams can investigate before issues compound.
Use grounded answers, citations, tenant-aware controls, and guardrails for decisions that require traceability.
Connect industrial protocols, enterprise asset workflows, governed reporting, and existing data platforms.
Support cloud, customer-controlled, sovereign, and local-model patterns around operational and data requirements.
Apply validation, access controls, PII filtering, topic policies, and citation rules across AI touchpoints.
How the platform works
MineLogX brings telemetry, maintenance records, and technical documents into one governed foundation, then puts AI on top that shows its sources.
Stream telemetry over MQTT, Kafka, or REST, or drop batch files in CSV, JSON, and NDJSON. Every record is checked against a data contract; failures are quarantined, not lost.
AI-assisted schema inspection reconciles each source's columns to one canonical model, so new feeds don't need custom code.
Bronze, Silver, and Gold layers keep raw, cleaned, and query-ready data separate, deduplicated, and scoped to each tenant.
PDFs, including scanned pages and tables, are extracted, classified, and indexed for combined semantic and keyword search.
Ask in plain language across your data and documents. Answers point back to their sources, and guardrails run on every AI call.
Compute KPIs, run statistical checks, and flag outliers across asset health, maintenance, production, and safety data.
IBM Maximo use case
The Maximo workflow synchronizes asset identifiers, condition events, inspections, work orders, and maintenance history. MineLogX supplies telemetry intelligence and operational context; Maximo continues to own governed asset lifecycle and work-management records.
Integration scope is configured to each customer environment. IBM product names do not imply endorsement or partnership.
Product evidence
MineLogX brings operational status, AI-assisted investigation, KPI analysis, alerts, and safety into one coherent workspace. The screens below use representative demo data.
Ask questions across operational data and documents and get a structured answer that cites its sources.
Review computed KPIs and AI-generated recommendations in the same operational context.
Keep critical and warning events visible while operators investigate the underlying performance signals.
Track active, investigated, and resolved events alongside safety KPIs and shift-level context.
Follow tonnes moved, haul-cycle timing, delays, and production KPIs in one shift-level view.
Representative product interface and demo data. Select any screen to view it at full resolution.
Enterprise architecture
MineLogX separates industrial data contracts and governed intelligence from provider-specific services, making it easier to fit the platform to cloud, sovereign, enterprise-data, and asset-management requirements.
IP21, OSI PI, OPC UA, Modbus, MQTT, CSV telemetry, and governed operational documents
Reusable schemas, connector contracts, agent interfaces, guardrails, and tenant-aware controls
Fleet analytics, anomaly detection, retrieval, operational agents, and compliance Q&A
FMS dashboards, APIs, reporting datasets, citations, alerts, and enterprise workflows
Cloud deployment
Bedrock, OpenSearch Serverless, Lambda, API Gateway, S3, Step Functions, and Amplify.
Reference deployment
Customer-controlled
Customer-managed infrastructure, sovereign data boundaries, and local-model deployment patterns.
Cloud and AI
Azure-aligned deployment and approved model access behind shared platform contracts.
AI and asset workflows
Governed model choice connected to asset registry, condition, inspection, and work-management context.
Data platform
Operational data integration for governed analytics, sharing, and enterprise consumption.
Business intelligence
Governed KPI datasets and operational reporting for business and site-level consumers.
Availability and implementation scope are confirmed for each customer deployment. Third-party names identify compatible technologies and do not imply endorsement or partnership.
Governed model choice
Standardize the operator experience while choosing the model, provider, and data boundary that fit each customer environment.
Route approved use cases across Amazon Bedrock models, IBM watsonx, ChatGPT, Azure OpenAI, DeepSeek, and other enabled options.
Keep the MineLogX workflow consistent while the selected model and deployment boundary change behind the scenes.
Use managed models or customer-controlled local-model patterns according to sovereignty, latency, and policy needs.
Apply tenant controls, validation, prompt-injection defenses, PII filtering, topic policies, and citation rules.
Asset-intensive industries
MineLogX starts with the demanding realities of mining and applies the same fleet, asset, telemetry, maintenance, and governance foundation across construction, utilities, oil and gas, and heavy industry.

Fleet, tonnage, fuel, maintenance, location, safety, and compliance workflows.

Heavy-equipment utilization, maintenance context, fuel performance, and site visibility.

Asset condition, inspection records, technical drawings, and test results connected for substation and grid maintenance.

Asset telemetry, condition signals, inspection context, and governed operational reporting.

A reusable operating pattern for asset-intensive environments where quality and traceability matter.
Ready to move from data to action?
Pick one fleet, site, or asset workflow. We'll show you how MineLogX connects the data behind it.