Manufacturing Surface & Underground Mining Operations

nexgile-fleetmind-command

The Nexgile-FleetMind Command is a comprehensive enterprise digital platform designed to transform mining operations through intelligent fleet management, precision machine guidance, predictive maintenance, and workforce excellence. Built on proven technology foundations, this unified command center integrates all critical aspects of surface and underground mining activities.

Explore Digital Workers View Capabilities

System Status

Operational

3 Digital Workers

22 AI Agents

24 + Capabilities

AI Powered

Portal ID: nexgile-fleetmind-command

Platform Overview

Comprehensive enterprise solution

The portal provides a centralized command interface for real-time fleet operations, with live GPS tracking displaying color-coded status indicators for load status, fuel levels, and operational metrics. The intelligent truck dispatch system optimizes assignments considering real-time conditions, road networks, and operator skill levels. High-precis... The portal provides a centralized command interface for real-time fleet operations, with live GPS tracking displaying color-coded status indicators for load status, fuel levels, and operational metrics. The intelligent truck dispatch system optimizes assignments considering real-time conditions, road networks, and operator skill levels. High-precision GNSS/GPS guidance enables sub-centimeter accuracy for drilling, loading, and material handling operations, while the guided spotting system improves safety and the drill hole stratification module enables real-time rock type identification. Continuous equipment health monitoring integrates with 175+ OEM interfaces through standard OEM connectivity, where machine learning algorithms identify failure patterns and provide predictive alerts. The system tracks component life cycles, enables work order automation, and ensures regulatory compliance with MSHA requirements. Integrated learning management capabilities include virtual classrooms, simulation-based training, and competency tracking, with real-time operator performance dashboards enabling benchmarking, goal setting, and continuous improvement. Multi-site overview dashboards provide executive-level visibility with drill-down navigation from fleet-wide summaries to individual equipment details. Advanced AI agentic scenarios enable autonomous production optimization, predictive maintenance intelligence, and AI-assisted blast design, featuring agent orchestration, decision streaming, digital twin integration, and human-in-the-loop approval gateways. The vendor-agnostic platform connects with diverse equipment manufacturers including Caterpillar, Komatsu, Hitachi, and Liebherr, with comprehensive integration capabilities extending to mine planning software, processing plants, ERP systems, and safety management platforms through standardized APIs and data mapping tools. Progressive web application support enables offline-capable mobile access with digital inspection checklists, work order management, incident reporting, and real-time notifications with background synchronization.

Platform Screenshots 4 images

Sample Employees page showing the employee management interface

Equipment Health Monitoring dashboard with real-time sensor data and predictive maintenance alerts

Integration Logs showing system connectivity status and data synchronization events

Loading Efficiency Analytics with performance metrics and trend analysis

AI-Powered Automation

Digital Workers

Autonomous AI systems orchestrating multi-agent workflows

3 Workers

22 Agents

24/7 Uptime

Digital Worker

AI Agentic Fleet Optimization System

Mining operations face significant productivity losses due to suboptimal truck assignments, unpredicted bottlenecks, inefficient route planning, and reactive equipment management. Traditional dispatch systems lack the intelligence to dynamically adapt to real-time conditions, causing queue buildups, fuel waste, and missed production targets.

AI Agents

Fleet Orchestrator Agent ACTIVE

Route Optimizer Agent ACTIVE

+ 3 more

5 Agents View Details

Digital Worker

AI Agentic Predictive Maintenance System

Mining equipment failures result in catastrophic downtime costs including lost production, emergency repairs, and safety risks. Traditional maintenance schedules either miss developing failures or perform unnecessary preventive work, while reactive approaches cannot predict component degradation.

AI Agents

Orchestrator Agent ACTIVE

Sensor Analyst Agent ACTIVE

+ 8 more

10 Agents View Details

Digital Worker

AI Agentic Blast Design Optimization System

Blast design in mining operations is a complex, high-stakes process requiring optimization of drill patterns, explosive loading, and timing sequences while ensuring safety compliance and regulatory adherence. Traditional approaches rely on manual calculations and engineer experience, leading to suboptimal fragmentation, excessive vibration, flyrock risks, and cost overruns.

AI Agents

Geological Analysis Agent ACTIVE

Drill Pattern Optimizer Agent ACTIVE

+ 5 more

7 Agents View Details

Business Overview

Platform at a Glance

Comprehensive overview of capabilities, audience, and value delivered

Enterprise Capabilities

24 core functions

Live GPS tracking of all mining equipment and vehicles with color-coded status indicators

Intelligent truck dispatch optimization based on real-time conditions, road networks, and operator skill levels

High-precision GNSS/GPS guidance with sub-centimeter accuracy for drilling, loading, and material handling

Guided spotting system that eliminates manual spotters

Drill hole stratification module for real-time rock type identification

Continuous equipment health monitoring with 175+ OEM interfaces

Machine learning algorithms for failure pattern identification and predictive alerts

Component life cycle tracking and work order automation

Virtual classrooms and simulation-based training with competency tracking

Real-time operator performance dashboards for benchmarking and goal setting

Skill matrix visualization for workforce planning and certification management

Multi-site overview dashboards with drill-down navigation to equipment details

KPI scorecards for production efficiency, equipment availability, safety metrics, and cost per ton with real-time trending

Autonomous production optimization through AI agentic workflows

Predictive maintenance intelligence with AI-assisted analysis

AI-assisted blast design with agent orchestration and decision streaming

Digital twin integration for validated autonomous operations

Human-in-the-loop approval gateways for critical decisions

Vendor-agnostic integration with equipment manufacturers (Caterpillar, Komatsu, Hitachi, Liebherr)

Integration with mine planning software, processing plants, ERP systems, and safety management platforms

Standardized APIs and data mapping tools for comprehensive interoperability

Offline-capable progressive web application for mobile and field access

Digital inspection checklists and incident reporting

Work order management with real-time notifications and background synchronization

Target Audience

6 stakeholder groups

Surface mining operations

Underground mining operations

Mining equipment operators

Operations supervisors

Maintenance technicians

Executives requiring multi-site visibility

Competitive Edge

8 key differentiators

Comprehensive enterprise digital platform serving as a unified command center

Sub-centimeter accuracy GNSS/GPS guidance for precision operations

Predictive alerts provided days or weeks before equipment failures occur

Integration with 175+ OEM interfaces through standard connectivity

Advanced AI agentic scenarios with full decision explainability

Vendor-agnostic platform connecting diverse equipment manufacturers

Human-in-the-loop approval gateways for validated autonomous operations

Offline-capable progressive web application for field access

Value Proposition

9 key benefits

Transforms mining operations through intelligent fleet management and automation

Eliminates manual spotters while improving safety through guided spotting systems

Enables blast optimization and explosives cost reduction through real-time rock type identification

Provides predictive maintenance alerts days or weeks before equipment failures occur

Enables continuous improvement through operator benchmarking and goal setting

Delivers executive-level visibility across all mining operations with contextual drill-down analysis

Ensures regulatory compliance with MSHA requirements

Provides validated autonomous operations through human-in-the-loop approval gateways

Enables seamless integration across diverse equipment manufacturers and enterprise systems