MineLogX AI

An Industrial Data Platform

Your operational data. Clearer decisions.

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.’

  • Telemetry over MQTT, Kafka, REST, and batch files
  • Document answers with traceable citations
  • Cloud and on-premises options
MineLogX operations Demo data
MineLogX operational overview showing fleet KPIs, AI insights, active alerts, and data summaries

Representative interface with demo data.

Same problem, every industry

The alert shows up. The evidence is scattered.

Mining

Warning

Truck HT-07 · Tire pressure trending low

Link fleet and plant telemetry to maintenance history to track down downtime, fuel waste, and failing components.

Construction

Warning

Boom cylinder · Seal wear flagged

Pull equipment condition, service records, and project documents together to plan maintenance around the work.

Utilities

Critical

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 for operational confidence and enterprise fit.

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.

One operational picture

Replace scattered telemetry, maintenance records, and technical documents with one decision workspace.

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.

How the platform works

From raw signals and documents to answers you can trace.

MineLogX brings telemetry, maintenance records, and technical documents into one governed foundation, then puts AI on top that shows its sources.

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Ingest from your systems

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.

Map messy source data

AI-assisted schema inspection reconciles each source's columns to one canonical model, so new feeds don't need custom code.

Governed data layers

Bronze, Silver, and Gold layers keep raw, cleaned, and query-ready data separate, deduplicated, and scoped to each tenant.

Searchable technical documents

PDFs, including scanned pages and tables, are extracted, classified, and indexed for combined semantic and keyword search.

Answers with citations

Ask in plain language across your data and documents. Answers point back to their sources, and guardrails run on every AI call.

KPIs and anomaly detection

Compute KPIs, run statistical checks, and flag outliers across asset health, maintenance, production, and safety data.

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.

MineLogX AI copilot interface

AI copilot

Ask questions across operational data and documents and get a structured answer that cites its sources.

MineLogX KPI intelligence interface

KPI intelligence

Review computed KPIs and AI-generated recommendations in the same operational context.

MineLogX Active-alert workflow interface

Active-alert workflow

Keep critical and warning events visible while operators investigate the underlying performance signals.

MineLogX Safety management interface

Safety management

Track active, investigated, and resolved events alongside safety KPIs and shift-level context.

MineLogX Load & tonnage interface

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.

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, utilities, oil and gas, and heavy industry.

Haul trucks and an excavator operating in an open-pit mine

Mining

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

Excavators and cranes coordinating work at a large construction site

Construction

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

Power transformers and switchgear at an electrical substation

Utilities

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

Engineer inspecting equipment at an oil and gas processing facility

Oil & gas

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

Technicians monitoring large rotating equipment in a heavy-industry plant

Heavy industry

A reusable operating pattern for asset-intensive environments where quality and traceability matter.

Ready to move from data to action?

See it on your own operation.

Pick one fleet, site, or asset workflow. We'll show you how MineLogX connects the data behind it.