The Challenge:
Planning teams push targets. Operations chase them. But between the orebody model, haulage plans, stockpile management, and the plant - it’s chaos. Feed consistency suffers, recovery drops, and no one knows where the disconnect actually began.

How We Solve It:
NTWIST’s platform syncs geological modeling with operational data in real time. Our geo-met engine surfaces blending inconsistencies, reconciles feed predictions with outcomes, and provides clear guidance for planning and operations to act in unison.

Why It Matters:
When everyone operates from the same source of truth, throughput increases, variability shrinks, and decisions stop feeling like educated guesses.

The Challenge:
Grind size drifts. Circuits destabilize. Operators react too late. Without real-time visibility into what’s happening inside the mill, plants are flying blind - and recovery gets hit before anyone notices.

How We Solve It:
NTWIST uses AI-powered virtual sensors to monitor mill feed and cyclone overflow in real time - no lab delays, no unreliable probes. This enables immediate course correction and tighter circuit control.

Why It Matters:
When operators see problems as they happen - not after - plants stabilize, recoveries rise, and performance becomes something you can count on.

The Challenge:
Static production plans don’t survive contact with reality. Downtime, rush orders, and unplanned maintenance make your schedule obsolete by noon - and you spend more time rebuilding it than executing it.

How We Solve It:
NTWIST’s AI-driven scheduling engine reacts in real time to operational disruptions. It reshuffles priorities, reroutes constraints, and helps planners deliver more with less firefighting. No spreadsheets. No manual rework.

Why It Matters:
Reduce delays, improve fulfillment confidence, and keep your ops moving - no matter what gets thrown your way.

The Challenge:
You’ve got dashboards, reports, SCADA trends - but not the one view that tells you what’s actually going wrong or how to fix it. Data is everywhere, yet decisions still rely on gut feel.

How We Solve It:
NTWIST unifies plant and sensor data into live dashboards that surface anomalies, compare expected vs. actual performance, and recommend actionable next steps. No more digging for answers.

Why It Matters:
Fast insight = fast action. When operators understand what matters most - in the moment - performance improves without adding new systems or staff.

The Challenge:
Your site uses more energy than it should - but no one can say where or why. Reporting feels performative. Real reductions require visibility, but most systems weren’t built for that.

How We Solve It:
NTWIST overlays AI models onto your operational data to find inefficiencies, emission hotspots, and recovery-energy tradeoffs. Then we recommend real changes that reduce energy use without hurting output.

Why It Matters:
You don’t have to choose between sustainability and performance. With the right visibility, you can drive both — and prove it.

The Challenge:
Circuits shift constantly, and every operator runs them differently. Optimal settings get lost to experience gaps, distraction, or habit - and performance suffers.

How We Solve It:
NTWIST provides AI-powered setpoint recommendations tuned to live conditions. Operators get clear, contextual guidance to stabilize control and reduce drift - without losing authority.

Why It Matters:
Less guesswork, more consistency. Plants run better when decisions are supported - not just left to chance.