Our Solution
The most advanced AI-powered analytics system purpose-built for mobile mining equipment.
The major cause of downtime for mines around the world is the lack of actionable information needed by the mine maintenance teams to diagnose and prevent asset failure. These mining companies typically spend a massive 20% – 50% of annual operating budgets on equipment repair and maintenance, and reduced yield from downtime has an even greater financial impact.

Cutting-edge technology that cuts through the noise.
Challenges in Predictive Maintenance today:
- Lack of skilled analysts to perform in house ML/AI and data analytics, and/or data analysts lacking machine knowledge
- Data overload from multiple sensors to allow even best SMEs to perform conditions monitoring
- OEM sensors often too late or non-existent to predict/prevent unplanned maintenance
- Rapid contextualization capabilities
- Algorithm resilience
- Proprietary data processing
Maximise productivity and control costs with unparalleled visibility
Rithmik delivers value almost immediately, even for mines that have only just started to collect data. The result?
Increased equipment availability
Lower maintenance
costs
costs
Reduced fuel burn
by up to 15%
by up to 15%
Explore the power of AI-driven Predictive Maintenance:
- Captures deviations from normal operation and the failure mode signatures from the equipment.
- Works with the data collection systems and reporting platforms mines want to use, which means you can get insights without adding screens or having to tear out what’s already in place.
- Works with any brand of mining mobile equipment
- Doesn’t require any added sensors or hardware
- Provides earlier, more accurate alarms with no threshold-setting required
- Provides performance comparisons across equipment types, brands, models, and geographies
- Identifies operator behaviours that are causing issues to the equipment as well as instances in which mechanics are not addressing the root causes of broken equipment.
- Identifies inefficiencies, thereby allowing an operator to improve fuel burn and ultimately decrease greenhouse gas emissions