Close the Gap Between the Pit and the Plant
NTWIST connects your geology, stockpile, and mill data into one decision layer - so your mill feeds the right material, every time.
From Block Model to Blend Strategy → Aligned
We connect geology, haulage, and plant data into one unified decision layer - giving your team the insight to feed the mill right the first time.
Live Ore Characterization
Track grades, hardness, and other key metrics across the full ore chain in near real-time.
Mill-Backed Planning Feedback
Close the loop between modeled plans and actual performance with real operational feedback.
Smart Blending Logic
Help planners anticipate variability and guide blends to protect throughput and recovery.
Value Recovery Tools
Expose lost recovery opportunities from hidden stockpile variability and feed inconsistencies.
Dynamic Stockpile View
Visualize material history and composition across your stockpiles using assays, surveys, and fleet data.
System-Wide Data Integration
Connect SCADA, PI, FMS, assays, and models - no new infrastructure needed.
Better Blends. Faster Feedback. More Recovery.
Stop relying on outdated assumptions. With NTWIST, you optimize stockpile inputs based on real-time data - not just what the model told you months ago. Our decision layer brings together planning, fleet, assay, and mill data to unlock better recovery with zero infrastructure changes.
Most operations still rely on static block models and delayed assays to manage ore quality and flow. NTWIST closes the loop between mine and mill with real-time data, improving decisions before material ever hits the plant.
Results Delivered:
- Up to $250/oz in recovered value from previously misrouted or diluted material
- Reduced variability in mill response to ore changes
- Faster reconciliation between stockpile plans and plant data
- Better use of existing assay, model, and fleet data - no new infrastructure needed
Built to Fit Your Stack
No rip-and-replace needed. NTWIST integrates seamlessly with your existing systems - even the custom ones.
The Tools Behind Mine-to-Mill Optimization
nGeoMet-AI
Real-time stockpile modeling and blend optimization using multi-source geological data.
nOptimize
Improve grinding, flotation, and recovery with soft sensors and machine learning.
nDatum + nAnalyze
Extend mine-to-mill optimization downstream. Improve hydromet and refining circuits using predictive modeling and decision support tools.
nEnviron
Track and reduce GHG emissions with AI-powered insights that simplify ESG reporting and surface high-impact opportunities.
Chosen by Mining and Processing Leaders Who Demand Results
From gold miners to downstream refiners, NTWIST gives industrial teams control over their data - and their margins.
Frequently asked questions
No - NTWIST integrates with your existing systems and block models. We enhance what’s already in place by layering on insights, not replacing your workflows.
Yes. Our system dynamically adapts to variability in ore grade, hardness, and flow, helping you make blending decisions in real time to avoid surprises downstream.
Absolutely. We use available inputs and model multi-source data to create a reliable digital twin of your stockpile. As more data becomes available, the model improves - but full instrumentation isn’t required to start.
Most clients begin realizing value within 90 days. Initial deployments are focused and lightweight, with measurable ROI often unlocked in under 3 months.
By improving upstream visibility into ore properties and flow, we stabilize feed consistency and optimize plant parameters. This leads to fewer process disruptions and better recovery rates.
We work with major platforms like MinePlan, Vulcan, PI System, SCADA, and PLCs - and if your environment is custom, we adapt accordingly.
Yes. NTWIST improves reconciliation accuracy by surfacing discrepancies between plan and production. This provides clearer accountability and supports ESG reporting needs.
No. While we’ve had major success in gold, our solution supports copper, nickel, uranium, iron ore, and other complex ore bodies.