AI & IoT Platform
Artificial Intelligence for Mining
Production-grade machine learning trained on 5 years of Odisha iron ore belt data — predicting pollution, optimizing operations, and protecting communities.
Predictive Pollution Modeling
Stacking ensemble (Random Forest + Gradient Boosting + SVR) forecasts PM2.5 and PM10 at every monitoring station from 21 engineered features.
Blast Vibration Prediction
ML models predict peak particle velocity (PPV) and air overpressure before every blast — keeping structures and communities safe.
Environmental Risk Index
A composite 0–100 ERI score per scenario — from baseline operations to enhanced mitigation — guiding investment in dust control.
Fleet & Dispatch Optimization
AI route optimization, load matching and fuel prediction cut cycle times and diesel burn across the haul fleet.
Compliance Intelligence
Automated screening of monitoring data against NAAQS and DGMS limits — flagging exceedances before regulators do.
Scenario Simulation
What-if analysis of production, mitigation and blasting strategies — from +50% production to alternative blasting designs.
AI Document Checker
Predictive Analytics Dashboard
Blasting Digital Twin — Blast Mode
Need a Tailored AI Solution?
Intelligent Machinery, Real-Time Control
Every asset instrumented, every data stream analyzed. Predictive maintenance, fuel optimization, operational intelligence.
Autonomous Drill Rig
AI-guided bench drilling with real-time depth, angle, and vibration telemetry.
Smart Excavator
Load-weight sensing, bucket optimization, and fatigue monitoring with GPS-guided dig plans.
Autonomous Haul Truck
Collision-avoidance radar, real-time payload monitoring, and AI-optimized routes.
Smart Wheel Loader
Auto-dig with self-leveling bucket, weigh-on-the-fly, tire pressure monitoring.
Intelligent Crusher
Vibration analysis, bearing temperature tracking, and automated gap adjustment.
Smart Conveyor Network
Belt speed, tension, and thermal imaging across the entire network with jam detection.
Questions About the AI & IoT Platform
What the models predict, how much data they need, offline operation, data security and what implementation involves.
Production and equipment-failure risk, blast fragmentation against your target X50, and compliance-document gaps before an inspection. It is built on your own site data rather than generic benchmarks, so the output reflects your geology, fleet and production pattern.
Less than most operators expect. Blast records, production figures and inspection logs are enough to start; fragmentation imagery and equipment telemetry materially improve accuracy. Where historical data is thin we run a supervised trial period before the model is trusted for decisions.
Yes. The field tools run offline and synchronize when connectivity returns, which matters for underground workings and remote sites where a dropped connection is normal. Nothing is lost if a shift ends with no network.
The deployment runs on infrastructure you control, with role-based access and audit logs on every change to a statutory record. Data is not shared with third parties, and you can export everything in open formats at any time.
Yes. We integrate with Tally, SAP and common ERP and data historian platforms, and we can read from your existing databases directly. If the system has an API we use it; if it does not, we build a clean import rather than a fragile screen scrape.
A single-site pilot with blast and compliance data typically runs 4–6 weeks to first useful output. A multi-site rollout runs 8–16 weeks, mostly data preparation and validation. We scope in writing before starting.
Then we run it. We offer managed operation covering monitoring, model retraining, user support and regulatory updates, so your site team only needs to use the output. Many clients start with a pilot and move to managed service once they see the numbers.