Your machines are talking.
Are you listening?
Every unplanned stoppage, every overheating motor, every performance dip — they all send signals before they become problems. Hanumatrix's Real-Time Machine Monitoring platform captures those signals, translates them into insight, and puts your team in control — 24/7, from the shop floor to the boardroom.
Hidden losses are bleeding your OEE
Most manufacturers have no real-time visibility into what their machines are actually doing. Operators rely on manual rounds, gut feel, and reactive maintenance. The cost is enormous — and almost entirely preventable.
Non-invasive sensors. Zero production disruption.
Our hardware team installs clamp-on current sensors, vibration probes, temperature loggers and PLC tap adapters — without stopping your line. Typically 4–8 hours per machine. Your production continues uninterrupted.
One dashboard. Every machine.
Your operations team gets a real-time floor map showing every machine's state — Running, Idle, Warning, or Fault — updated every second. No more walking the floor to find out what's stopped.
Smart alerts that reach the right person.
When something goes wrong, every second counts. Hanumatrix's alerting engine sends context-rich notifications — what happened, which machine, how severe, and what to do next — to the right person immediately.
OEE, energy and productivity — all in one place.
Hanumatrix automatically calculates your OEE — Availability, Performance, Quality — per machine, per line, per shift. Trend it over weeks, drill into loss events, and export to Excel or ERP at the click of a button.
Predict failures before they happen.
Our edge AI models learn the baseline behaviour of each machine — motor current signatures, vibration envelopes, temperature gradients. When trends deviate, the system calculates a Remaining Useful Life estimate and raises a predictive work order.
Stop guessing.
Start knowing.
Hanumatrix Real-Time Machine Monitoring is live in manufacturing plants across automotive, pharma, FMCG, and heavy engineering. A typical deployment goes from zero to live dashboard in under 2 weeks — with no production downtime.