MechAIQ

AI-Powered Engineering Intelligence for Industrial Machine Reliability

AI-powered Diagnostics and Prognostics for Industrial Machinery

MechAIQ builds intelligent machine health monitoring systems that combine vibration sensing, AI-driven diagnostics, and prognostics to predict failures before breakdown occurs — helping industries significantly reduce downtime, maintenance costs, and operational losses.

MechAIQ mark

Our Vision

We are building the next generation of industrial intelligence systems that transform raw machine performance data into actionable diagnostics, prognostics, and maintenance decisions.

Real-Time Monitoring

Continuous machine vibration data acquisition and live operational health tracking.

AI Diagnostics

Automatic detection of bearing faults, imbalance, misalignment, looseness, and gear anomalies with definite confidence levels.

Predictive Prognostics

Remaining useful life estimation and failure forecasting for rotating equipment.

Cloud Dashboard

Remote machine monitoring with secure analytics dashboards and health reports.

Custom Sensor Integration

Plug-and-play deployment with vibration, acoustic, and process sensors.

Industrial Intelligence

Data-driven maintenance planning to reduce downtime and optimize asset life.

How it works

  1. Sensor installation on target machinery
  2. Live data collection and edge processing
  3. AI-based fault diagnosis engine
  4. Remaining useful life prediction
  5. Actionable maintenance recommendations

PHM Workflow

Our predictive health monitoring workflow combines sensor data acquisition, AI-based diagnostics, and prognostics to generate actionable maintenance intelligence.

PHM workflow

Use Cases

Rotating Equipment

Motors, pumps, compressors, driveshafts, engine cranks, gears, bearings.

Condition Monitoring

Continuous asset health analytics for industrial plants.

Failure Prevention

Early warning system to avoid catastrophic breakdowns.

Contact

Schedule a product walkthrough or discuss a pilot deployment.

Email: hello_mechaiq@outlook.com

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