Mining and Metallurgy Optimization & Decision Intelligence
Mining and metallurgy operate under irreversible decisions. What gets extracted, when it is extracted, how it is processed, and how it moves downstream determine the economic ceiling of the entire system. Once material is moved, blended, or processed, that value is fixed. Errors compound. Recovery is limited. Optionality disappears.
These industries face long planning horizons, capital-intensive assets, geological and process uncertainty, environmental and regulatory constraints, and tightly coupled operations. Rule-based planning, heuristics, and disconnected tools cannot reliably manage these trade-offs at scale.
Modaai builds optimization-driven decision systems for mining and metallurgical operations. We model decisions, constraints, and economics end-to-end. We do not build dashboards. We do not deploy black-box predictions. We solve decision problems.
Explicit Definition
Mining and metallurgy optimization is the use of mathematical optimization and decision-intelligence models to determine extraction, conversion, and flow decisions that maximize economic value subject to physical, operational, environmental, and regulatory constraints.
Life-of-Mine Planning & Sequencing
Irreversible extraction decisions.
Applications
- Pit, bench, and stope sequencing under slope, access, grade, and regulatory constraints
- Cut-off grade and production policy design
- Long-term capacity and capital deployment decisions
Outcomes
- Higher net present value across the life of mine
- Defensible, auditable mine plans
- Reduced re-planning driven by short-term disruptions
Operational Scheduling & Execution
Making plans executable.
Applications
- Short- and mid-term production scheduling
- Equipment and crew assignment
- Maintenance-aware dispatch and utilization planning
Outcomes
- Improved asset utilization
- Fewer execution conflicts between plan and operations
- Reduced downtime and schedule instability
Fleet, Asset, & Resource Optimization
Capital works or it doesn’t.
Applications
- Allocation of trucks, shovels, drills, and support equipment
- Capital expansion and replacement timing
- Maintenance-constrained capacity planning
Outcomes
- Lower cost per tonne
- Capital deployed where it creates value
- Transparent trade-offs between utilization, risk, and reliability
Blending & Metallurgical Conversion Optimization
Material becomes margin—or disappears.
Applications
- Ore and concentrate blending to meet chemical and physical specifications
- Throughput and recovery trade-offs
- Campaign and furnace scheduling
Outcomes
- Higher and more stable recovery
- Reduced penalties and off-spec production
- Throughput aligned with downstream constraints
Energy, Consumables, & Process Constraints
Costs compound quietly.
Applications
- Power, reagent, and consumables optimization
- Process-aware cost minimization
- Constraint-driven operating policy design
Outcomes
- Lower operating cost per unit
- Reduced variability in process performance
- Explicit visibility into energy–throughput trade-offs
Inventory, Logistics, & Flow Optimization
Movement is a decision, not an afterthought.
Applications
- Stockpile build and reclaim strategies
- Material routing and re-handling minimization
- Coordination of haulage, rail, port, and shipping capacity
Outcomes
- Reduced working capital tied up in inventory
- Fewer emergency logistics decisions
- Flow aligned with economic priorities
Risk Management & Scenario Planning
Uncertainty made explicit.
Applications
- Geological, price, and operational scenario analysis
- Policy testing under uncertainty
- Resilience planning across mine-to-market decisions
Outcomes
- Decisions that hold under stress
- Quantified downside risk
- Faster response when conditions change
Open Pit Mine Scheduling
Maximize the NPV of open pit mines
Applications
- Plan block sequences in mine
- Focus on high-value blocks
- Accommodate uncertainty in block composition
Outcomes
- Increased net present value
- Robust block sequencing
- Feasible schedules that are safe
Why Modaai
Modaai builds constraint-based optimization systems that reflect real operations. We model physical limits, economics, policies, and regulatory requirements directly. We reject black-box prediction, heuristic-only planning, and dashboard-first systems. Our work produces decisions that are explainable, auditable, and defensible.
Who We Work With
Private Industry
• Asset owners and economic mandate holders
+ Mine, plant, and supply-chain operators
– Technical and planning system gatekeepers
Public Agencies
• Resource and policy authorities
+ Program and infrastructure operators
– Technical reviewers and compliance bodies
Start with a Focused Pilot
Logistics and inventory pilot
Reduced re-handling and working capital with defensible routing decisions.
Life-of-mine sequencing pilot
Clear scope. Economic objective. Auditable improvement in plan value.
Mine-to-plant blending pilot
Explicit recovery and penalty trade-offs. Measurable margin impact.