M:\
Every machine, on the record.
What each machine reports
  1. (01)

    Machine-hours

    Machinery logs meter the hours each machine runs, entered against the machine itself — not estimated at month-end.

  2. (02)

    Spare consumption

    Every spare is logged against the machine it went into, the job it served, and the life-hours it was expected to last.

  3. (03)

    Wear score

    Each machine carries a wear score from 0–100, built from run-hours, spare-consumption rate, and failure history.

  4. (04)

    Anomaly flags

    Over-consumption and machines drifting toward failure are flagged before the part decides for itself.

  5. (05)

    Shift handover

    What ran, what stopped, what needs watching — handed from day to night in a written report at 06:00 and 18:00, IST.

  6. (06)

    On the graph

    Every machine sits in the knowledge graph beside its spares, shifts, and the blocks it moved — one connected record.

Per-machine
  • Wear score from 0–100 per machine
  • Spare life-hours tracked against a baseline rate
  • Over-consumption flagged the moment it drifts
  • Agentic comprehension that watches for future anomalies
  • Clean handover from one shift to the next
More from the field

See your own fleet on the record.

Tell us what machines run on your lease and how you track them today.

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