AI Analytics · Mobile Mining Equipment
Every sensor. Every alarm. Every anomaly —
detected, diagnosed, continuously.
Enabling the next generation of predictive maintenance.
WHO WE ARE
Diagnosis, not just detection. Rithmik is your prescriptive analytics platform for mobile mining equipment, bridging the gap between operations and maintenance. Using data you’re already collecting, the platform diagnoses root causes before failures happen: reducing maintenance costs, improving availability, cutting unplanned downtime, and optimizing fuel efficiency.
WHAT WE DO
AI Built For Maintenance & Reliability Leaders at Surface Mining Operations
Purpose-built AI for mobile mining equipment that bridges the gap between operations and maintenance — reducing maintenance cost, avoiding cost increases through higher availability and less unplanned downtime, optimizing fuel efficiency and lowering emissions.
First movers
We were applying AI to mining long before most of the industry took it seriously — building real operational expertise from day one.
Models trained on the work
Years of training on real fleet data let our models detect anomalies earlier and more accurately than newer entrants.
Beyond detection
As others catch up on detection, we extend the platform with diagnosis and prescription for every anomaly, all the time.
PRODUCT
Analytics Delivery
Our actionable insights reach your team through the channel that fits your operation — whether that’s the integrator platform you already use, your internal dashboards, or our proprietary platform purpose-built to cut through the noise.
Your integrator platform
Push insights into the system you already use
We deliver Rithmik insights directly into the third-party operations platform your sites already run on — no parallel tool to learn.
Your internal dashboards
Feed your existing business intelligence and reporting tools
Stream insights into the dashboards your reliability and operations teams have already built, so the workflow stays unchanged.
RITHMIK PROPRIETARY PLATFORM
Hundreds of alarms → a short list of prioritized actions
Purpose-built to remove the noise from hundreds of alarms and performance charts, surfacing prioritized, actionable insights — each with a confidence indicator so your team knows exactly where to look first.
Confidence indicator on every insight
Rithmik Analytics Platform - YouTube
AI DETECTION
How It Works
Raw data from your operation flows through Rithmik’s layered AI — from detection through to prescriptive action.
Sensor Data
Event Data
Contextual Information Repository
Business Impact
Rithmik Core Models
Detection Layer
Diagnostic Layer
Prescriptive Layer
Intelligent Insight Layer
Actionable output delivered to operators and planners
Design Specifications and Operational Data
Rithmik AI layers
Actionable output
CLIENTS
Case Studies
RS-101
CASE STUDY · PREDICTIVE FAILURE DETECTION
Engine oil differential pressure — CAT 793F haul truck
Open-pit copper mine, Peru. Rithmik’s proprietary analytics model identified a sudden step increase in oil restriction 21 days before failure. A planned PM on December 23 masked the symptom but not the underlying damage — the engine failed 5 days later. OEM alarms activated just 7 minutes before failure, providing effectively zero actionable lead time.
21 days
Early warning window
7 min
OEM alarm lead time
$650K
Preventable engine failure cost
RS-102
CASE STUDY · CONDITION-BASED FAILURE DETECTION
Low engine power — Hitachi EH3500 haul truck
Following a scheduled PM event, loaded uphill speed dropped from 13 km/h to 11 km/h (~15%) with the truck ranking last in the fleet on effective resistance and engine power. No OEM alarms triggered — Rithmik isolated the maintenance-induced root cause across cooling, intake, and combustion subsystems with 88% confidence.