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TALPA

Predictive Analytics for Mobile Mining Assets

TALPA’s industrial AI and IoT platform leverages machine learning to convert raw data into actionable insights.

Minimize downtime.

Protect productivity & profitability

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Predict failures before they happen

AI-driven anomaly detection combined with historical and real-time data.

Maintenance costs/hour

 Instant health reports help cut MTTR (mean time to repair)  and boost MTBF (mean time between failures) significantly.

Emissions, fuel, and waste

Eliminate idling, optimize routes and optimize machine deployment (more tons carried, routes, etc.).

Unified OEM-agnostic platform

Connect trucks, loaders, excavators, dozers—any asset, any brand.

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How TALPA works

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TALPA’s industrial AI and IoT platform leverages machine learning and pre-trained models to convert raw data (native resolution signals, GPS, sensor data) into actionable insights.

Applications
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Trucks

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Loaders

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Excavators

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Dozers

TALPA is OEM-agnostic.

Boost fleet performance

Use data to find operational optimization opportunities.

Gain more operational hours from your machines, engines, tires. Integrate actionable insights into your existing asset and fleet management systems.

With Green Fleet Solutions and the ability to leverage under utilized data with TALPA, you can increase you cycles,  reduce MTTR and increase MTBF.

The expected return of investment of TALPA alone is over 10x the solution's cost on average.

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Assessed Parameters

  • Utilization, idle time

  • Production tonnages*

  • Fuel consumption

  • Haulage distances (full/empty)

*precise tonnage, subject to data availability; otherwise, nominal weight is used for calculation.

  • Number and duration of cycles

  • Machine operating hours

  • Speed

  • Engine hours

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Location-based Analysis

  • Material flow georeferenced (by mineral cluster/waste)

  • Hot zone detection/trend recognition

  • Optimization potential & notification

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An industrial AI platform with a data science-first approach to guarantee business value along the data value chain.

36 M+

Total asset operating hours

12,000+

Integrated assets

350+

Client sites

380+

Daily users

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Talpacortex

Talpacortex is a reliable positioning and data processing device designed for industrial applications.

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Positioning & Connectivity

  • Dual-mode data transfer: 3G/4G + WLAN

  • On-demand Machine-to-Machine (M2M) communication

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Installation & Integration

  • Proprietary data compression algorithms

  • Easy plug-and-play installation

  • Compatible with vehicles and industrial systems

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Data Management

  • Integrated processing unit for web-based management

  • Stores data offline for 80 days without network access

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Reliability & Applications
  • Built for harsh industrial environments

  • Long-term operational data logging

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Additional Benefits
  • Scalable: Supports retrofits and embedded sensors.

  • Precision: High quality GNSS and IMU enable sub-meter accuracy for motion tracking.

  • Flexible: Combines real-time and offline functionality for remote or low-connectivity sites.

fleet anayltics for mining fleets

TALPA Predictive Analytics

Smarter, Greener Decisions

TALPA reduces idle time and fuel waste with real-time insights​, increasing asset life and minimizing unplanned maintenance or severe component wear and failure.

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  • $16,600/year/asset saved via fuel and maintenance reductions.

  • 9.2% lower diesel use through consumption analysis.

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  • 28% higher mass flow from optimized HEX/OHT setups.

  • Cycle time optimization to eliminate waiting at loaders/crushers.

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  • Productivity gain via layout/process improvements.

  • Scalable success with TALPA deployed across various company sites

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  • Automated reporting to free staff for strategic tasks.

  • Pothole detection to minimize machine wear.

  • Unified fleet tracking for mixed OEM equipment.

Results

​After only four months of using TALPA’s smartquarry suite, a global quarry operator identified $16,600 in annual savings per mobile mining asset and increased operational output by 28%. 

Challenges
  • Declining OEE due to haul truck fleet age.

  • Inefficient workflows: Idle time, administrative bottlenecks, and extra trips.

  • High diesel costs from unoptimized machine configurations.

  • Mixed OEM fleet complexity, complicating maintenance and procurement.

  • The goal was to boost productivity and reduce operational unknowns.

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Case Study

Quarry Mine Client

More ways to cut fuel consumption and emissions

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Get your Free ROI Assessment

Access our Fleet ROI Calculator, see how your fuel savings translate to dollars and emissions.

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