Focused modules, one model.
Each of blueprint's modules targets a specific decision, and every one runs on the same integrated value-chain model underneath.
Matrix
Sensitivity testing for optimal design parameters
Range key assumptions and design parameters across scenario sets, then compare the impact on value, schedule and material movement. Matrix helps teams see which inputs matter most, where the better settings sit and how robust the result is under different assumptions. AI engine automatically ingests natural language and structured data and creates models in minutes. Applications from studies teams, mining portfolio & capital prioritisation to industry analysts.
Range Parameters
Vary assumptions, constraints and design settings.
Compare Outcomes
Assess NPV, schedule and movement impacts.
Find Robust Settings
Separate strong signals from fragile optima.
Helps Answer
- Which parameters most influence project value?
- Where do better design settings appear to sit?
- How sensitive is the plan to key assumptions?
- Which projects to invest in, using publicly available or proprietary data
Typical Outputs
- Scenario comparison tables
- Sensitivity curves and value drivers
- Clearer parameter choices for planning decisions
Outcome: Clearer parameter choices for planning decisions
Energy
Pit electrification and charging infrastructure planning
Model the transition from diesel to electric mine operations by comparing supply options, network constraints and charging locations. Energy helps teams understand cost, timing and operational impact before committing capital.
Compare Options
Compare diesel, grid, microgrid and staged transitions.
Locate Chargers
Place charging infrastructure where it supports the plan.
Test Capacity
Check whether the network supports demand over time.
Helps Answer
- When does electrification become economic?
- Where should chargers or substations be located?
- Can the power network support the mine schedule?
Typical Outputs
- Electrification roadmap
- Charger and substation location options
- Practical energy strategy linked to the mine plan
Outcome: Practical energy strategy linked to the mine plan
Vector
Infrastructure location optimisation across the mine
Optimise where major infrastructure should be placed by combining spatial, operational and economic drivers. Vector helps teams compare layouts and understand how location choices affect haulage, access, cost and whole-of-mine value.
Map Constraints
Use terrain, access, exclusions and mine geometry.
Optimise Location
Balance haulage, capital and operating cost.
Compare Layouts
Test infrastructure options against the plan.
Helps Answer
- Where should crushers, plants or stockpiles go?
- Which layout reduces cost-to-serve?
- What is the value impact of moving infrastructure?
Typical Outputs
- Recommended infrastructure locations
- Cost-to-serve and haulage impact maps
- Better layout decisions across the mine