Get More Life Out of Every Cutting Tool
Stop choosing between running a tool too conservatively or too far. Live Tool Life management predicts remaining life in real time, so every tool runs its full useful life and no further.
Too Early Wastes Money, Too Late Breaks a Run
Without real usage data, tool changes default to one of two habits: change early and often, wasting good tool life out of caution, or run until something breaks mid-cycle and takes the part — or the machine — with it. Neither is a decision; both are guesses.
From Guess to Prediction to Decision
- 01
See remaining life in real time
Tool life counts down as the tool is actually used, with an AI-predicted remaining-life confidence score.
Live Tool Life & Inventory & Usage Mgmt. - 02
Decide regrind vs. replace with real cost data
Trade-off analytics compare the cost-per-part of regrinding against replacing, using actual lifecycle history instead of habit.
Live Tool Life & Inventory & Usage Mgmt. - 03
Feed the risk back into OEE before it costs a cycle
A tool nearing end of life is a performance-loss risk — the same signal OEE 4.0 would otherwise only explain after the fact.
OEE 4.0
What the Prediction Looks Like
One example instance from the live platform demo — illustrative of the prediction, not a guaranteed accuracy level for every tool type or material.
What This Looks Like on Your Floor
Catching a tool nearing end-of-life before it breaks mid-run
The predicted remaining-life score flags a tool before it fails on the machine, not after.
Deciding whether to regrind or replace a tool type
Trade-off analytics settle the question with real cost history instead of habit.
Reducing emergency tool-crib runs
Live stock and reorder points catch a shortage before a machine sits idle waiting on a tool.
Related Solutions
Frequently Asked
No — it is the same module. This page is written around the specific outcome (getting more life out of a tool) for anyone searching by the problem rather than the product name.