Avathon Autonomy for Mining Operations
Precious mineral mining and processing are inherently variable—ore grades fluctuate, mineral composition shifts, AND recovery conditions change daily. This variability directly affects yield and operating costs. By applying real-time intelligence to ore quality data, operators can dynamically modify processing parameters to maximize recovery while minimizing reagent use and other input costs. AI-powered operations provide a breakthrough opportunity to continuously analyze complex, multi-variable conditions and autonomously optimize recovery processes, driving higher yield, lower cost per ton, and more consistent performance.
Avathon’s Autonomy Platform delivers AI-driven, end-to-end planning, decision intelligence, and autonomous actions across the mining value chain—from exploration and logistics to asset management, supply chain, and safety. Avathon is redefining tech-intensive mining operations, using AI to create safer, more efficient processes, transform asset maintenance, and streamline logistics. This is how mining value chains become intelligent, connected systems that quickly adapt to market opportunities.
From Data to Knowledge
Using our Computational Knowledge Graph technology to map and contextualize assets, resources, schedules, and dependencies, the platform’s AI agents enable you to shift from reactive exception management to predictive, data-driven operations. By connecting these components into a unified, adaptive plan, mining operators significantly increase productivity, reduce operating costs, and reduce overhead.
Avathon is modeling the interwoven organizations, nodes, policies, and connections for global supply chains in a Small Language Model (SLM). Customers and their partners–of all types–can join Avathon and leverage our pre-populated Knowledge Fabric to jumpstart the definition of their supply chain networks and connections.
The Drive Forward
The advent of industrial AI is a once in a generation breakthrough. Avathon’s Autonomy Platform leverages the power of AI to address these systemic operating challenges by transforming fragmented systems, asset-generated data, and human-driven expertise into unified, actionable intelligence. By unifying disparate data sources into a single decision-intelligence platform, Avathon establishes a continuously learning operational fabric that delivers real-time visibility, automated reasoning, and predictive control over your mining and supply chain operations. This unified data fabric enables you to shift from reactive exception management to predictive, knowledge-driven operations.
Avathon Autonomy for Mining Operations gives you competitive and economic advantage. From assisted to semi-autonomous to fully autonomous processes, decision-making, and actions, Avathon meets you where you are and guides your transformation to Autonomy for Operations.
Avathon leverages our years of industry and domain experience and expertise to meet you where you are and guide your transformation at your pace. Together, we’ll deliver AI-driven smarter, leaner, adaptive processes, decisions, and actions. Your AI-empowered employees can then re-focus their attention from mundane day-to-day reconciliations, firefighting, and expediting to strategy, and decision making, better leveraging their experience and expertise for results.
Industrial AI for a Leap Forward in Mining
Avathon’s Autonomy Platform delivers safer, more efficient, and more profitable mining operations, by:
- Identifying new mining opportunities: By combining new models with historical data, profitable deposits are more intelligently identified and wasteful pursuits minimized.
- Improving product throughput, grade, and quality: AI is uniquely capable of analyzing immense quantities of geological data to identify mineral deposits, optimizing drilling rates, production, and profits.
- Maximizing heavy equipment performance: By predicting asset/equipment failures well in advance, diagnosing issues, and prescribing mitigating actions, AI-powered planned and predictive maintenance significantly increase the availability, performance, and lifetimes of expensive assets.
- Optimizing the mineral supply chain: Productivity is enhanced by ensuring that required materials, parts, equipment, and people are where they are needed when they are needed.
- Protecting worker health and safety: Visual AI helps ensure workers are wearing appropriate helmets, gloves, vests, harnesses, and other personal protective equipment (PPE), and operating within safe practices.
Avathon Autonomy for Mining Operations
Core Areas of Value
Integrated Business & Supply Chain Planning
Synchronize demand, supply, and financial targets through a unified autonomous framework.
High Grade ROI
- Replaces static monthly cycles with a continuous, agentic planning process that aligns sales forecasts, production capacity, and financial goals in real-time
What-If Scenario Simulation
- Virtually test the impact of supply disruptions, global trade dynamics, or demand surges before committing resources
Dynamic Demand-Supply Balancing
- Uses the Avathon Foundation Graph Models to identify correlations between market volatility and manufacturing constraints, automatically recommending plan adjustments
People & Safety
Empowering people with AI and real-time Visual AI safety measures turns a culture from reactive investigations to proactive prevention.
AI-driven Exploration
Unify and explore historical data–structured and unstructured, decades old to yesterday’s reports–to optimize exploration for higher ROI.
Mine Historical Documentation
- Unlocking the potential of the exploration phase requires shining a light on “Dark Data”—the millions of untapped paper documents containing decades of invaluable geological insights.
Digital Geologist
- AI-driven automated extraction transforms decades of paper archives into accessible digital knowledge. By instantly connecting location, lithology, and assay data, it bridges the gap between geology and mining departments to provide more than just search results—it delivers actionable answers and a clear strategic plan.
Precision Targeting
- Enable operators to identify higher grades, accelerate reserve expansion, and significantly improve mine planning. By leveraging historical intelligence, companies achieve substantial cost avoidance by drastically reducing wasted drilling meters. Furthermore, this data-driven approach optimizes cycle time, shortening the window for target generation and allowing for faster, more confident decision-making that directly impacts the bottom line.
Supply Chain
Manage the end-to-end supply chain for comprehensive intelligence and optimization.
Planning
Inventory Management
- Controls inventory policies and execution (min/max, safety stock, reorder points), tracks stock status and movements, and optimizes inventory levels to meet service goals at lowest cost.
Spare Parts & Consumable Forecasting
- Forecasts demand for MRO items (spares/consumables) using asset population, failure/usage rates, maintenance schedules, and historical consumption- reducing stockouts and excess.
Integrated Demand Planning
- Consolidates and reconciles demand signals into a single consensus demand plan across functions.
Sourcing & Procurement
Supplier Management
- Maintains supplier master data and performance management (quality, on-time delivery, cost, responsiveness), supports scorecards, corrective actions, and supplier development.
Order Collaboration
- Enables collaboration with suppliers/partners on orders and commitments (PO confirmations, changes, ship dates, quantities), improving visibility and reducing exceptions.
Supplier Risk Management
- Identifies, assesses, and monitors supplier-related tasks (financial, geopolitical, capacity, compliance, ESG, cybersecurity), triggers alerts, and supports mitigation/contingency actions.
Sourcing
- Supports strategic sourcing activities – RFI/RFQ/RFP, bid comparisons, negotiations, award decisions, and contract creation – to secure best value and supplier fit.
Logistics
Transportation Management
Executes shipment planning and dispatch: load building, carrier selection, routing, tendering, tracking, delivery confirmation, and freight audit basics for day-to-day moves.
Global Trade Management
- Extends transportation to multi-country and multi-mode
moves (ocean/air/rail/road), handling trade compliance, customs documentation, landed cost, international milestones, and global carrier networks.
Warehouse Management
- Inbound receiving, put away, picking/packing, cycle counts, and labor/task management.
Asset Management
Ensure high availability and continuity of revenue generating operations at the lowest cost.
Overview & Monitor
Fleet Management
- Real-time visualization of asset health, operating parameters,
and fleet status across all equipment fleets with configurable aggregation windows.
Availability Tracking
Time-based availability, machine utilization, staffed utilization,
uptime/downtime metrics, MTBF, MTTR.
Availability Tracking
Time-based availability, machine utilization, staffed utilization,
uptime/downtime metrics, MTBF, MTTR.
Alarm Management
Raw alarm ingestion from source systems, processed alarms with rationalization and deduplication, severity-based prioritization, alarm history and trending.
Notifications & Alerts
- Configurable threshold-based and multi-condition alert rules,
escalation workflows, multi-channel delivery (email, SMS, in-app).
Predict
Normal Behavior Models
- Baseline learning per equipment class, anomaly detection
and deviation scoring against learned baselines, early warning for developing issues.
Unplanned Downtime Prediction
- Failure probability scoring and degradation
trending for proactive maintenance intervention.
Diagnose
Root Cause Analysis
- AI-assisted identification of failure root causes using sensor
data, maintenance history, and operational context.
Failure Pattern Analysis
- Failure probability scoring and degradation trending for proactive maintenance intervention.
Analyze
Advanced Analytics
- Deep-dive analysis for any timestamp or time range, KPI
trending, correlation of alerts with operational and maintenance data.
Historical Benchmarking
- Performance comparison across equipment, sites, and
time periods.
Prescribe
Maintenance Recommendations
- AI-generated work recommendations with supporting evidence — sensor trends, historical failures, OEM guidance.
Role Based Workflows
- Tailored interfaces for Mechanic (task execution, parts
lookup), Planner (scheduling, resource allocation), Reliability Engineer (strategy oversight, trend review).
Optimized Scheduling
- Condition-based maintenance scheduling balancing risk, cost,
and production impact.
Maintain
Work Order Management
- Work order creation from alerts and predictions, status
tracking from creation through completion.
Closed-Loop Feedback
- Maintenance outcomes fed back into Predict and Diagnose
models for continuous improvement.
Supply Chain Integration
- Maintenance demand signals flow into supply chain
planning for parts readiness.
Processing Optimization
Continuous, end-to-end process optimization
In the processing phase, operators are often caught between high energy costs and unpredictable ore grades. The lack of integrated, real-time data flow between stages creates ‘blind spots’ that lead to reactive adjustments and sub-optimal recovery. To achieve true efficiency, the shift must move from siloed manual monitoring to an integrated, data-driven approach that optimizes throughput and reagent consumption in real-time.
Utilizing the “Digital Geologist” concept allows recovery plants to adjust parameters based on the specific characteristics of the incoming ore. Advanced process control (APC) and machine learning models can optimize reagent dosage and energy consumption in real-time across the mills, roasters, and autoclaves to tune equipment and processing chemical for maximum yield at lowest cost. While protecting equipment . It’s a shift from variable recovery to maximized throughput, yield, and operating efficiency.
Draslovka and Avathon Partner to Deliver AI-Powered Solutions for Mining
The Avathon + Draslovka partnership provides a breakthrough solution that combines Draslovka’s real‑time mineral and slurry monitoring technologies—delivered through its world class Blue Cube on‑stream mineralogical sensors—and MetOptima advanced metallurgical optimization AI engine, with the Avathon Autonomy Platform, a scalable industrial‑AI environment that enhances operational performance, automating decisions, and orchestrating complex operations across sites.
Visual AI for Safety
Proactive safety management using computer vision
Turn from accident investigation to prevention with machine vision.
Overview & Monitor
Consolidated Dashboard
- A real-time analytics dashboard providing a consolidated view of alarm trends and site performance across the entire enterprise.
Camera Heartbeat
- A live heartbeat tracker that monitors and reports the real-time accessibility and operational status of all network cameras.
Site-Wise Dashboard
- Real-time visualization and alarm monitoring for individual
locations, featuring site-selection filters.
Alarm Details
- Monitors movement to prevent collisions between workers and heavy machinery or Autonomous Ground Vehicles
