Open Source IoT Pipeline Framework
Introduction to MineLogX AI for industrial mining data pipelines.
MineLogX.ai is an open source IoT pipeline framework purpose-built for geographically distributed mining operations. It delivers secure, batch-mode telemetry collection, resilient buffering, and standardized payloads that flow from on-premises sensors into cloud data lakes, processing jobs, and analytics warehouses—without locking you into a single provider.
- Time-to-value
- 4 weeks
- Connectors
- 30+ OT/IT
- Platform coverage
- Multi-cloud & edge
Align edge agents, batch Spark jobs, and dimensional warehouses through manifests, checkpoints, and lifecycle policies that travel with each region and site.
Cloud-Agnostic by Design
Deploy across AWS, Azure, GCP, Oracle, Huawei, Tencent, or IBM Cloud using standard object storage and security controls.
Hardened Edge Collection
Outbound-only agents capture IP21, OSI PI, and historian data with buffering, validation, and traceable filenames.
Assured Data Trust
Encryption at rest, manifest tracking, and schema contracts keep multi-region mining telemetry compliant by default.
Platform outcomes
A modern mining data fabric engineered for open, cloud-agnostic operations.
Every module is built as an open component, giving operations, geology, and sustainability leaders the agility to run critical insights in any cloud or on any edge site without re-platforming.
Composable data products
Reusable infrastructure-as-code blueprints accelerate rollouts across exploration, processing, and ESG teams without vendor lock-in.
Vendor-neutral pipelines
Abstract industrial data sources with open connectors that publish to Snowflake, Databricks, or lakehouses simultaneously.
Observability everywhere
Golden signals for streaming and batch workloads with Grafana, OpenTelemetry, and FinOps dashboards out-of-the-box.
Mission-critical resiliency
Multi-AZ deployment blueprints and automated disaster recovery keep mine operations online when it matters most.
Industrial knowledge graph
Domain models capture orebody, asset, and sustainability context to supercharge analytics and AI copilots.
Secure-by-default delivery
Workload isolation, policy-as-code, and private service mesh gateways meet mining regulatory baselines globally.
Reference architecture
Blueprinting the MineLogX AI pipeline end to end.
The framework spans air-gapped collection, multi-cloud storage, batch processing, and analytics-ready warehouses. We partner closely with AWS and IBM to layer GenAI copilots, Bedrock and SageMaker workloads, and WatsonX-driven reporting on top of the core pipeline while keeping deployments portable across every major hyperscaler.
On-prem data collection agent
Outbound-only collectors ingest IP21, OSI PI, and historian feeds, buffer during outages, and stamp every file with timestamped region and site metadata.
Cloud data lake storage
Hierarchical object storage partitions /iot-data/ by region_id, site_id, and date with encryption, checksums, and lifecycle governance.
Cloud-based data processing
Apache Spark or equivalent batch jobs validate, cleanse, and aggregate manifests while tracking checkpoints for multi-terabyte daily loads.
Cloud-based data warehouse
Dimensional schemas partitioned by region and site deliver sub-second analytics through SQL, APIs, or BI dashboards with strict IAM enforcement.
Optional enhancements
SLOs, schema contracts, and retention policies uphold data quality targets, regulatory compliance, and region-specific governance.
.png&w=3840&q=75)
Operational playbooks
From pit to port, MineLogX.ai powers mission-critical decisions.
Choose from validated delivery accelerators or bring your own workloads. Our cloud-agnostic pipeline routes telemetry, processing jobs, and GenAI services to the clouds and regions that best fit each mine while keeping governance centralized.
Explore data playbooksTailings intelligence
Streaming ingest, anomaly detection, and regulatory reporting for tailings storage facilities in a single workspace.
Reliability command center
Predictive maintenance pipelines fuse vibration, SCADA, and historian data to eliminate unplanned downtime.
Carbon + ESG accounting
Automate scope 1-3 insights by connecting fleet telemetry, procurement, and environmental sensors to unified ledgers.
Processing optimization
Advanced control models tune mill throughput and recovery rates with reinforcement learning and digital twins.
Safety automation
Vision AI and wearables trigger real-time alerts and workflows that keep crews safe underground and onsite.
Water stewardship
Surface and subsurface monitoring ensure water quality compliance and rapid remediation when thresholds spike.
Ready to operationalize cloud-agnostic mining intelligence?
We co-create MineLogX.ai deployments with AWS and IBM as strategic partners—leveraging IoT Core, Kinesis, Glue, EMR, Redshift, Bedrock, SageMaker, Maximo, and WatsonX—to accelerate trusted GenAI outcomes without sacrificing portability across your broader cloud estate.