Newmont’s Peñasquito mine, located in the state of Zacatecas, Mexico, is one of the largest open‑pit mining operations in the world, producing gold, silver, lead, and zinc. Since beginning commercial operations in 2010, Peñasquito has consistently applied continuous improvement practices to enhance productivity, safety, and cost efficiency across its large‑scale haulage and loading operations. Through joint analysis by Mine Operations and the Training Department, Peñasquito identified truck spot time at electric shovel loading areas as a critical contributor to haul cycle inefficiency and elevated operating costs. Newmont Peñasquito partnered with Immersive Technologies to launch a targeted Continuous Improvement project supported by Operator Performance Analytics (OPA). The project combined OPA‑driven data analysis, simulator‑based training, and structured field follow‑up to identify high‑variability operator behaviors and standardize best‑practice spotting techniques.

Real Results include:

• Truck spot time reduced by 12%, exceeding the original project target of 10%.
• Reduced variability in operator spotting performance, as validated through OPA risk and distribution analysis.
• Improved haul cycle efficiency, contributing directly to lower operating costs per ton.
• Achieved 102% of planned pit tonnage
• The project delivered an estimated operational cost benefit of approximately USD $12 million.

Glencore Operations South Africa (Pty) Ltd- Coal Division (Glencore) operates large‑scale open‑pit coal mining operations near Emalahleni, where haul truck reliability is critical to sustaining production and controlling maintenance cost. With a high utilization fleet of Caterpillar^® 785 haul trucks, Glencore’s maintenance and operations teams closely monitor equipment events that indicate abnormal operating practices and potential premature component wear. During routine analysis in mid‑2025, Glencore identified a significant increase in Operator‑Induced Events (OIEs) related to transmission abuse, shifting practices, and engine protection overrides. To address this, Glencore partnered with Immersive Technologies to deliver a focused machine reliability improvement initiative targeting operator behavior that directly impacts drivetrain health.

Real Results include:

• 49.5% reduction in total Operator‑Induced Events.
• 31.9% reduction in Abusive Shift events.
• 75.3% reduction in Low Engine Coolant Temperature warnings, reducing cold‑start related engine risk.
• 52.2% reduction in Coasting in Neutral events.

Vale operates the Salobo copper mine in the state of Pará, Brazil, one of the company's main operations, producing copper and by-products at large-scale. The site operates continuously with a large team of experienced equipment operators and a mixed fleet of Caterpillar^® and Komatsu haul trucks supporting cable excavator operations. Maintaining efficient truck-excavator interaction is critical to sustaining productivity in this high-capacity environment. Vale identified that excessive truck maneuvering time during loading and tipping activities limited overall transportation efficiency and restricted excavator productivity. The CI project focused on reducing maneuvering and tipping times through simulator-based training and structured field training. A select group of qualified operators, whose performance significantly influenced key metrics, participated in a training program specifically designed for the behaviors and techniques identified by on-site instructors.

Real Results include:

Caterpillar^® 793D Haul Trucks

• The truck's maneuvering time was reduced by 18%.
• Tipping time reduced by 22%.

Komatsu 830E Haul Trucks

• Truck maneuvering time reduced by 22%.
• Tipping time reduced by 22%.

Overall Improvements in Truck Productivity

• Average reduction of 10% in maneuvering time during loading.
• Average reduction of 11% in tipping time.
• Average increase of 3% in truck operating speed.
• A 48% reduction in operational failures related to driving technique and braking practices.

"We believe that the use of simulators, combined with the strength of the partnership, represents an important milestone in the continuous pursuit of excellence, safety, and innovation."

Ok Tedi Mining Limited operates the Mt Fubilan mine in the Western Province of Papua New Guinea, a large‑scale, continuous mining operation producing copper, gold, and silver. As the operation expanded and crews were drawn from multiple regions, Ok Tedi identified growing variability in operator performance and risk exposure across its haul truck workforce.

Ok Tedi partnered with Immersive Technologies to implement a data‑driven safety improvement initiative built on Operator Performance Analytics (OPA) and targeted simulator‑based training. The project focused on identifying operator safety risk trends, reducing operator‑induced events, and shifting training from broad, periodic assessment to focused coaching based on verified operating behavior.

Real Results include:

• Overall operator risk reduced by 11%, including safety, maintenance, and production-related errors.
• Abusive shifts reduced by 54%.
• Safety‑related operator error metrics reduced by more than 70% within the trained operator group.
• Measurable reduction achieved within 90 days post‑training, demonstrating rapid behavior change.

Valterra Platinum’s Mogalakwena Mine, located in South Africa’s Limpopo Province, is home to the world’s largest open-pit platinum group metals operation and represents a tier one asset for the company’s portfolio. Within its high-intensity environment, rope shovel productivity directly influences downstream haulage efficiency, plant feed stability and overall unit cost performance.

As part of its surface mining operations, Mogalakwena deployed a Komatsu P&H 4800XPC rope shovel with a target production rate of 6,000 tons per hour. However, since commissioning, the shovel struggled to achieve consistent output. Valterra Platinum implemented a targeted shovel productivity improvement initiative focused on operator capability development, combining simulation-based learning with in-field performance validation. The program was delivered with Immersive Technologies as an enabling partner within Valterra Platinum’s learning and operational system, in collaboration with Komatsu.

Real Results include:

• 12.71% improvement in average tons per hour.
• 6.11% improvement in average loading time.
• 8.04% improvement in tons per pass.
• 4.04% reduction in passes per load.
• 8.98% improvement in truck loads per hour.
• 12.8% reduction in boom jack events.

PT Kalimantan Prima Persada (KPP) is Indonesia’s largest integrated mining services company, operating across multiple coal mining regions as well as port, hauling, gold, and nickel projects. KPP’s operations span challenging terrain conditions, including steep haul road grades, high rolling resistance, and long operating hours.

At several KPP coal mine operations in Kalimantan, fuel consumption of Komatsu HD785 haul trucks was identified as a sustainability and cost challenge. Analysis showed that operator behavior, including throttle management, braking practices, power mode selection, and transmission use, was a primary contributor to elevated fuel burn, greenhouse gas emissions, and operating cost volatility. Inconsistent operating techniques also increased the risk of equipment wear and inefficient energy use, particularly under demanding haul road conditions. KPP partnered with Immersive Technologies to implement a structured simulator‑based operator competency development program focused on fuel efficiency and sustainable operating practices. The project combined classroom instruction, high‑fidelity simulator training scenarios, in‑field mentoring, and continuous performance monitoring through onboard data systems.

Real Results include:

• Average fuel consumption reduced by 6.6 liters per hour on Komatsu HD785 haul trucks.
• Operational fuel cost savings of approximately IDR 800 million per month.
• Greenhouse gas emissions reduced by 4,266 metric tons of CO₂, supporting KPP’s ESG objectives
• Significant reduction in risky operating behaviors, including aggressive throttle use, braking, RPM dumping, and improper power mode selection.
• Measurable improvement in haul truck productivity through more efficient and consistent operating techniques.