Edge-Native · Physical AI · Mining

Data
Intelligence
At the Face

semanticIQ delivers real-time, edge-native data pipelines built for the harsh realities of modern mining — where connectivity is sparse, latency is fatal, and every tonne of ore matters.

Request Demo See How It Works
<12ms
Edge Inference Latency
99.4%
Uptime Off-Grid
8+
Mine Types Supported
Live Edge Feed · Haul Truck #14 — Payload 287t — Zone C3 Ontology Sync · Drill Pattern Classifier v2.1 Deployed Live Anomaly · Conveyor Belt 07 — Vibration Spike Detected Agent Action · Blasting Delay Issued — Sector 11 Safety Zone Active Live Ore Grade · 4.2 g/t Au — Block 9 Southeast Stope Pipeline Status · 1,240 Sensors Streaming · Latency 9ms Live Edge Feed · Haul Truck #14 — Payload 287t — Zone C3 Ontology Sync · Drill Pattern Classifier v2.1 Deployed Live Anomaly · Conveyor Belt 07 — Vibration Spike Detected Agent Action · Blasting Delay Issued — Sector 11 Safety Zone Active Live Ore Grade · 4.2 g/t Au — Block 9 Southeast Stope Pipeline Status · 1,240 Sensors Streaming · Latency 9ms
The Problem

Mining Runs on Blind Spots

Underground equipment, open-pit sensors, and fleet telematics generate enormous data volumes — but without a coherent semantic layer, it stays siloed, stale, and unusable. Cloud-first architectures break down 3,000 feet below surface.

  • !Sensor data trapped in vendor silos — drill telemetry, conveyor health, and ore tracking systems that never talk to each other.
  • !Cloud-dependent AI models fail in underground environments where LTE and WiFi are intermittent or unavailable.
  • !Decisions made on 4-hour-old data — haul cycles, grade control, and safety events require sub-second intelligence.
  • !Legacy MES and ERP systems treated as the "source of truth" for operational reality that changed hours ago.
How It Works

Automated Field Data Cleaning,
Straight From the Source

How our lightweight software unifies chaotic mining telemetry — without cloud dependency, without replacing your existing hardware.

01
Sensor Ingestion
Onboard edge nodes collect raw streams from drills, conveyors, haul trucks, and environmental monitors — no cloud dependency required.
Runs on any standard Windows or Linux field PC, or your existing industrial gateway hardware. No new equipment required.
Sub-50ms polling
02
Automatic Data Cleaning
Messy, vendor-siloed telemetry is automatically standardised and unified into a single clean data stream — so your team stops wrestling with format mismatches and missing fields.
Mining ontology kit v3
03
On-Site AI, No Internet Required
AI models run directly on your field hardware — predicting equipment failures, flagging grade drops, and optimising cycle times before a cloud server ever gets involved.
<12ms inference
04
Automatic Actions, Less Manual Work
Clean data flows directly into your existing fleet management, SCADA, and ERP systems — automatically triggering dispatch changes, maintenance tickets, and shift reports without operator intervention.
SCADA + ERP integration
Applications

Built for the Operational Realities of Modern Mining

Every use case below is live on site from day one — no rip and replace, no complex IT setup. semanticIQ plugs into the equipment and systems you already have and starts delivering measurable results within weeks.

Grade Control
Stop Sending the Wrong Ore to the Mill
Continuous grade readings from drill cuttings, blasthole sensors, and XRF data are automatically unified — so your mill feed decisions are based on what's actually in the ground right now, not last shift's assay.
↑23%Ore recovery improvement
Fleet & Haulage
Cut the Dead Time Between Loads
Haul truck payload, cycle times, and queue lengths are tracked automatically — and routes are rebalanced in real time to keep trucks loaded and moving, without a dispatcher having to intervene.
↓18%Reduction in cycle variance
Maintenance
Know a Crusher Is Failing Before It Stops
Vibration, temperature, and current data from your crushers, mills, and conveyors is analysed continuously on-site — giving your maintenance team 72 to 96 hours of advance warning before a breakdown, not a work order after one.
72hAdvance failure warning
Safety & Compliance
Zone Lockdowns in Under Half a Second
Gas detectors, proximity sensors, and seismic monitors feed directly into the on-site system — automatically locking down hazard zones and alerting crews faster than any manual procedure can.
<400msAlert-to-lockdown latency
Energy & Water
Stop Paying Peak Rates to Run the Mill
Energy draw across the processing plant and pump network is tracked automatically — and high-consumption processes are rescheduled to off-peak windows without anyone having to manually watch the meter.
↓31%Energy cost reduction
Reporting
Shift Reports That Write Themselves
End-of-shift summaries, JORC and NI 43-101 compliance reports, and internal KPI dashboards are generated automatically from live operational data — giving your team six fewer hours of manual data entry per shift.
−6hReporting overhead per shift
How It Works

Deploy in Four Steps

01
Deploy Industry-Standard Kits
Start with pre-built ontology models for mining — designed for immediate AI readiness and aligned with CRIRSCO and ISO standards.
02
Map Your Existing Legacy Data
We connect your current ERP, MES, and siloed sensor data to our semantic layer — without breaking your current systems.
03
Activate Autonomous Agents
Deploy AI agents that reason over your data to handle grade control, fleet dispatch, or maintenance scheduling in real time.
04
Modernize at Your Own Pace
Gradually shift operations to an AI-first architecture, phasing out legacy costs and complexity as you scale.
Request Demo
About semanticIQ
Why Edge-Native

Cloud AI
Doesn't Work
Underground

01
Zero Connectivity Tolerance
Underground mines average 40–60% network availability. semanticIQ edge nodes operate fully autonomously during outages and sync delta changes on reconnect.
02
Latency That Kills Operations
A cloud round-trip takes 80–400ms. Safety-critical responses require sub-50ms decisions. Edge inference delivers 9–12ms.
03
Data Sovereignty & Security
Resource data never leaves your operational perimeter. Geological models and production intelligence stay on-site — satisfying regulatory and competitive security requirements.
04
Bandwidth Economics
A 1,000-sensor operation generates 15–40GB/day raw. Edge-side semantic compression reduces cloud egress by 97% — transforming infrastructure cost.
semanticiq.edge · node-07 · underground-l4
# semanticIQ Edge Node — Live Stream
─────────────────────────────────────────
$ siq status
 
node_id edge-07-l4-westwing
connectivity OFFLINE
mode AUTONOMOUS
uptime 14d 06h 42m
 
sensors_active 148 / 148
inference_latency 11ms avg
events_buffered 3,821
 
last_alert BELT_07_VIBRATION
alert_action maint_ticket_raised
alert_age 4m 12s
 
# Operating autonomously. No cloud needed.
$ _
Industry Coverage

One Platform.
Every Ore Body.

Hard Rock Underground
Gold, copper, nickel. Deep stope operations with intermittent comms.
Open Pit
Large-scale fleet, blast scheduling, and grade control.
Battery Minerals
Lithium, cobalt, graphite. Critical mineral traceability from face to port.
Coal & Potash
Continuous miner telemetry and methane monitoring at the longwall.
Processing Plants
Comminution, flotation, and tailings — end-to-end semantic integration.
Pricing

Tailored to Your Operation

semanticIQ pricing is scoped to your site footprint — number of edge nodes, sensors, and agent workloads. Contact us to discuss a plan that fits your operation.

Talk to the Team
Common Questions

FAQ

No. semanticIQ sits on top of your current systems. Our mining ontology kits map directly to your existing ERP, MES, or sensor databases — no rip and replace required.

We ship kits for hard rock underground, open pit, battery minerals, coal and potash, and processing plant operations — each aligned to CRIRSCO and ISO 19156 schemas.

All inference and data processing happens on-site at the edge node. No raw operational or geological data leaves your perimeter unless you explicitly configure cloud sync.

Typical deployments go from data mapping to live edge inference in 4 to 6 weeks, including sensor integration, ontology configuration, and agent activation.

Most mining AI vendors require cloud connectivity and offer point solutions. semanticIQ provides a unified semantic layer that runs fully offline — unifying all data sources into one agent-ready graph.

Absolutely. Most sites start with a single high-value use case — grade control or predictive maintenance — to prove ROI before expanding to the full platform.
Get in Touch

Ready to Wire
the Mine of the Future?

Talk to our team about deploying a pilot edge node on your site. We go from data mapping to live inference in under four weeks.

Our Location
Iveagh Court, Harcourt Rd, Saint Kevin's
Dublin, D02 YT22
Email
mal@outreach.semanticiq.co

Send a Message