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.
Industrial data platform + engineering
Your operational data. Clearer decisions.
MineLogX is a reusable industrial data platform. Our engineers connect it to the systems you already run, deploy it in the environment you control, and prove it on one use case before you scale.
A 45-minute session on your data and use case.
- Validated integration, a reusable data foundation, governance, and operational workflows
- Deployed in the environment you control; your existing systems stay in place
- Start with one use case, then expand
MineLogX operations Demo data
Representative interface with demo data.
Same problem, every industry
The alert shows up. The evidence is scattered.
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
A reusable foundation, deployed in your environment, proven on your use case.
01
A reusable industrial data platform
The cloud services underneath are standard. The value is the engineering above them, already built and tested, so your project doesn't start from zero.
- Validated integration: every record checked against a data contract, failures quarantined with the reason
- A reusable data foundation: canonical schemas and raw, cleaned, and query-ready data layers
- Governance: tenant isolation, AI guardrails, cited answers, and audit logs
- Operational workflows: from alert to evidence to next action
02
Your environment, your systems
You keep the operational systems you already run. MineLogX connects to them rather than replacing them.
- Asset management, historians, and maintenance systems stay your systems of record
- Deployment architecture is chosen around your security, data residency, and model requirements
- Deployed as code into the environment you control: AWS reference deployment today, other targets scoped per project
03
Start with one use case, then expand
Pick one site, fleet, or asset workflow and agree up front how success is measured. Every use case delivers:
- A working integration with your real data sources
- An operational workflow your team actually uses
- Documented acceptance evidence against the agreed criteria
- A production roadmap for the next sites and workflows
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.
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.
AI copilot
Ask questions across operational data and documents and get a structured answer that cites its sources.
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
Live today: MQTT, Kafka, REST, and batch files (CSV, JSON), plus PDF documents. OSI PI, IP21, OPC UA, and Modbus connect through a site gateway
02
Validated shared core
Reusable schemas, connector contracts, agent interfaces, guardrails, and tenant-aware controls
03
Governed intelligence
KPI analytics, anomaly detection, document retrieval, and answers with source citations
04
Operational delivery
Dashboards, APIs, query-ready reporting views, citations, and alerts
Deployment and enterprise ecosystem
Available
Cloud deployment
AWS
Bedrock, OpenSearch Serverless, Lambda, API Gateway, S3, Step Functions, Redshift, and Amplify.
Reference deployment
On request
Customer-controlled
On premises / sovereign
Customer-managed infrastructure and local models for strict data boundaries, scoped per project.
Roadmap
Cloud and AI
Microsoft Azure
Deployment on Azure with approved model access, behind the same platform contracts.
In development
AI and asset workflows
IBM watsonx + Maximo
Maximo stays the system of record; MineLogX adds condition, inspection, and work-order context. Query layer built, API in progress.
Roadmap
Data platform
Snowflake
Per-tenant export of curated data for analytics and sharing. Data contract designed.
On request
Business intelligence
Power BI
KPI reporting from the curated, tenant-scoped data layer, set up per customer.
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.
Mining
Fleet, tonnage, fuel, maintenance, location, safety, and compliance workflows.
Construction
Heavy-equipment utilization, maintenance context, fuel performance, and site visibility.
Utilities
Asset condition, inspection records, technical drawings, and test results connected for substation and grid maintenance.
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 one use case.
Pick one fleet, site, or asset workflow. You get a working integration, a workflow your team uses, documented acceptance evidence, and a roadmap to production.