One operational picture
Replace fragmented fleet, maintenance, fuel, tonnage, location, and safety views with one decision workspace.
An Industrial Data Platform
Turn operational data into decisions your teams can act on.
MineLogX unifies fleet status, maintenance, fuel, tonnage, location, safety, and governed AI so operators move from signal to action in one workspace.
- Eight connected FMS views
- Five industrial protocols
- Cloud and on-premises options
MineLogX operations Live view
Representative interface with demo data.
Why MineLogX
Built for operational confidence and enterprise fit.
A mining-led platform that gives operators a clearer daily workflow while giving technology leaders the controls, interoperability, and deployment flexibility they expect.
Earlier operational signals
Bring anomalies, risk indicators, and priority alerts forward so teams can investigate before issues compound.
AI teams can trust
Use grounded answers, citations, tenant-aware controls, and guardrails for decisions that require traceability.
Fits the industrial stack
Connect industrial protocols, enterprise asset workflows, governed reporting, and existing data platforms.
Deployment on your terms
Support cloud, customer-controlled, sovereign, and local-model patterns around operational and data requirements.
Governance by design
Apply validation, access controls, PII filtering, topic policies, and citation rules across AI touchpoints.
Fleet Management System
From asset status to maintenance action in one workspace.
Eight connected operating views bring fleet, maintenance, KPIs, tonnage, fuel, location, safety, and AI-assisted insight together for faster shift-level decisions.
Fleet status
Track active, idle, maintenance, and offline assets across the current operating shift.
Asset health & maintenance
Prioritize predictive flags, overdue items, maintenance schedules, and work orders by asset.
Load, tonnage & KPIs
Monitor tonnes moved, utilization, availability, cycle measures, and performance against target.
Fuel and idle performance
Compare fuel per tonne, consumption, idle behavior, and related efficiency signals.
GPS and site visibility
Bring asset location and operating context into the same fleet workflow where source data permits.
Safety and anomaly response
Surface operational alerts and governed AI insights without fabricating source data or KPIs.
IBM Maximo use case
Keep Maximo as the asset-management system of record.
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.
Asset registry and hierarchy
Condition and anomaly signals
Inspection and work-order context
Maintenance history for AI analysis
Integration scope is configured to each customer environment. IBM product names do not imply endorsement or partnership.
Product evidence
See the operating workflow—not just the feature list.
MineLogX brings operational status, AI-assisted investigation, KPI analysis, alerts, and safety into one coherent workspace. The screens below use representative demo data.
AI copilot
Ask operational questions and move from fleet signals to a structured, evidence-backed response.
KPI intelligence
Review computed KPIs and AI-generated recommendations in the same operational context.
Active-alert workflow
Keep critical and warning events visible while operators investigate the underlying performance signals.
Safety management
Track active, investigated, and resolved events alongside safety KPIs and shift-level context.
Load & tonnage
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
A shared operational core across your technology ecosystem.
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.
01
Industrial sources
IP21, OSI PI, OPC UA, Modbus, MQTT, CSV telemetry, and governed operational documents
02
Validated shared core
Reusable schemas, connector contracts, agent interfaces, guardrails, and tenant-aware controls
03
Governed intelligence
Fleet analytics, anomaly detection, retrieval, operational agents, and compliance Q&A
04
Operational delivery
FMS dashboards, APIs, reporting datasets, citations, alerts, and enterprise workflows
Deployment and enterprise ecosystem
Available
Cloud deployment
AWS
Bedrock, OpenSearch Serverless, Lambda, API Gateway, S3, Step Functions, and Amplify.
Reference deployment
Available
Customer-controlled
On premises / sovereign
Customer-managed infrastructure, sovereign data boundaries, and local-model deployment patterns.
Available
Cloud and AI
Microsoft Azure
Azure-aligned deployment and approved model access behind shared platform contracts.
Available
AI and asset workflows
IBM watsonx + Maximo
Governed model choice connected to asset registry, condition, inspection, and work-management context.
Available
Data platform
Snowflake
Operational data integration for governed analytics, sharing, and enterprise consumption.
Available
Business intelligence
Power BI
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
The right model for the use case and deployment.
Standardize the operator experience while choosing the model, provider, and data boundary that fit each customer environment.
Illustrative selector. Model access depends on the options enabled for each deployment.
Choice across providers
Route approved use cases across Amazon Bedrock models, IBM watsonx, ChatGPT, Azure OpenAI, DeepSeek, and other enabled options.
One operator experience
Keep the MineLogX workflow consistent while the selected model and deployment boundary change behind the scenes.
Cloud or local routing
Use managed models or customer-controlled local-model patterns according to sovereignty, latency, and policy needs.
Governance follows the model
Apply tenant controls, validation, prompt-injection defenses, PII filtering, topic policies, and citation rules.
Asset-intensive industries
One industrial data foundation. Built for complex operations.
MineLogX starts with the demanding realities of mining and applies the same fleet, asset, telemetry, maintenance, and governance foundation across construction, oil and gas, and heavy industry.
Mining
Fleet, tonnage, fuel, maintenance, location, safety, and compliance workflows.
Construction
Heavy-equipment utilization, maintenance context, fuel performance, and site visibility.
Oil & gas
Asset telemetry, condition signals, inspection context, and governed operational reporting.
Heavy industry
A reusable operating pattern for asset-intensive environments where quality and traceability matter.
Ready to move from data to action?
Start with the operational workflow that matters most.
Bring one fleet, site, or asset workflow into focus, align it with your deployment boundary and enterprise stack, and establish a practical path to measurable operational value.