
- (01)
Machine-hours
Machinery logs meter the hours each machine runs, entered against the machine itself — not estimated at month-end.
- (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.
- (03)
Wear score
Each machine carries a wear score from 0–100, built from run-hours, spare-consumption rate, and failure history.
- (04)
Anomaly flags
Over-consumption and machines drifting toward failure are flagged before the part decides for itself.
- (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.
- (06)
On the graph
Every machine sits in the knowledge graph beside its spares, shifts, and the blocks it moved — one connected record.
- 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
See your own fleet on the record.
Tell us what machines run on your lease and how you track them today.

