Averages Hide Millions in Lost Ore. Your Stockpile Data Can Prove It.

Our team will review your existing data sources (like GPS logs, dispatch records, and plant feed data) to identify gaps, inconsistencies, or untapped value. You’ll receive a summary of findings with suggested areas for improvement.

Yes. Our system maps and monitors all tracked stockpiles individually, offering site-wide coverage whether you're managing satellite pits, ROM pads, or mill feed stockpiles. This helps reduce reliance on manual handovers and improves accountability.

By linking geological intent with actual haul activity, our model improves the feedback loop between planning and execution. Dispatch, mill operators, and technical services all gain access to the same live view - supporting faster, more aligned decisions across departments.

At a minimum, we typically need access to haul cycle data (from FMS or dispatch logs), basic stockpile naming conventions, and a connection to your grade control or block model outputs. The cleaner your source data, the faster we can configure and tune the system.

No - it works alongside your existing systems. Think of it as an operational intelligence layer that adds context to what’s already being recorded. It doesn’t interfere with your control systems, and it’s designed to pull data, not push commands.

Several NTWIST deployments have demonstrated tangible gains. For example, in a digital twin implementation at a gold mine in Brazil, NTWIST’s system helped prevent an estimated $2 million in ore losses through real-time misrouting detection and unified stockpile visibility. In another case, an AI-driven optimization model delivered measurable improvements during 42% of operating hours, with 17% of off-spec hours corrected, directly boosting stability and profit.

Absolutely. NTWIST’s solution is designed to align with how your team already thinks about stockpiles. You define the naming structure, and we configure the logic accordingly - no rigid frameworks to work around.

No. Even mid-sized sites benefit from more accurate material tracking. Whether you're juggling multiple pits or just trying to better manage a few stockpiles feeding a single plant, the visibility and accountability it provides pays off.

Most pilots are configured in a matter of weeks. Once live, teams typically start seeing value within the first production cycle - especially when used to inform blending or validate stockpile assumptions ahead of a campaign.

Yes. Our model can be configured to support reconciliation workflows by offering an auditable trail of material movement and estimated composition. This supports both internal reporting and external compliance where required.