ENERGY & MINING

AI for Critical Infrastructure

Secure SCADA. Optimize operations. Prevent downtime.

Deploy AI across oil fields, power grids, and mining sites. OT security for industrial control systems with remote site automation.

AI for Energy & Mining

OT Security

Protect SCADA, DCS, and industrial control systems

  • ICS/SCADA protocol filtering
  • Safety system integrity
  • Air-gapped network security
  • Anomaly detection for PLC/RTU
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Distributed AI

Edge AI at remote mining and drilling sites

  • Ruggedized edge servers
  • Satellite link optimization
  • Offline operation capability
  • Predictive maintenance
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Zero Trust

Secure access to critical infrastructure

  • Role-based access control
  • Vendor access management
  • IT/OT network segmentation
  • Continuous verification
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DDoS Protection

Keep power grids and refineries online

  • Critical infrastructure defense
  • State-sponsored attack mitigation
  • Always-on protection
  • 99.99% uptime SLA
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Industrial AI Applications

Transform raw data into actionable insights with machine learning and geospatial intelligence

Idle Well Prediction & Recovery

AI-powered production forecasting for oil & gas fields

The Challenge

  • 30-40% of wells become idle annually
  • $200K+ average loss per idle well
  • Manual monitoring misses early signals
  • Reactive intervention too late

AI Solution

  • LSTM models predict production decline 90 days ahead
  • Real-time SCADA integration monitors 50+ sensor parameters
  • Anomaly detection flags potential issues instantly
  • Automated alerts to field engineers via API

Business Impact

Idle wells reduced -65%
Production recovery +23%
ROI period 4.5 months
Annual savings $18M

Tech Stack: TensorFlow LSTM + Prophet for time series | Real-time SCADA connectors (Modbus, OPC-UA) | Edge deployment on ruggedized servers | Automated workflow integration with field management systems

GIS-Based Mineral Potential Mapping

AI + Geospatial Intelligence for exploration targeting

Multi-Layer Geospatial Analysis

Our AI integrates 15+ data layers to identify high-potential mineralization zones:

Geological maps
Geochemical surveys
Geophysical data
Remote sensing
Historical drill data
Topography (DEM)
Structural lineaments
Alteration zones

Proven Results: Identified 3 new copper-gold prospects in Kalimantan with 87% confidence score. Reduced exploration costs by 42% vs. traditional methods.

AI Workflow

1
Data Ingestion

Import GeoTIFF, shapefiles, CSV into PostGIS

2
Feature Engineering

Extract 200+ geospatial features using GDAL/QGIS

3
ML Training

Random Forest + XGBoost ensemble model

4
Prospectivity Maps

Generate probability heatmaps + drill targets

92%
Prediction Accuracy
15+
Data Layers Analyzed
68%
Cost Reduction
3-6mo
Deployment Time

Smart Grid AI

Load balancing, demand forecasting, and fault detection for electrical grids with secure SCADA integration.

Stack: OT Security + Distributed AI + DDoS Protection

Autonomous Haulers

Edge AI for autonomous trucks, drilling optimization, and real-time safety monitoring at remote mine sites.

Stack: Distributed AI + Zero Trust + OT Security

Predictive Maintenance

Prevent catastrophic failures on offshore platforms by analyzing vibration, temperature, and pressure sensors with AI.

Stack: Distributed AI + OT Security + Edge DNS

Secure Your Critical Infrastructure

Deploy AI with safety-first OT security

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