The predictive maintenance agent
that schedules itself.
Most predictive maintenance tools stop at an alert. This one keeps going: it predicts the failure, finds the best window to fix it, gets the fix approved or executes it, verifies the downtime was actually avoided, and remembers the pattern for next time.
ARGOS finds degradation
before failure.
ARGOS reconstructs hidden machine states — tool wear, bearing health — from the signals you can already measure, and separates genuine degradation from batch changes and operator variation.
| Capability | What it means in practice |
|---|---|
| Remaining Useful Life | Time-to-failure estimate with a confidence interval, aligned to planned maintenance windows. |
| Smart anomaly detection | Fires on genuine degradation, not batch changes or sensor noise — fewer false alarms. |
| Named failure signatures | Alerts reference known historical patterns from TRACEMEM's case memory, not generic statistical warnings. |
KAIROS finds the window
that fits everything.
Not just machine health. KAIROS combines the health score with live energy prices, technician availability, and the production plan into one scheduling decision — including confirming spare parts with the Spare Part Agent before proposing a window.
HERMES routes it —
or runs it.
Routine maintenance actions execute automatically. High-impact ones are routed for a one-click approval in Agent Workspace, with the full case attached — no coordinator has to chase down a decision manually.
Proof the downtime
was actually avoided.
VRE checks what happened on the machine after the fix — not what was predicted — and produces a signed, auditable record. That record lives in Evidence, ready for a maintenance report or an audit.
The next similar failure
gets caught faster.
ATHENA promotes the verified fix into a rule. TRACEMEM keeps the case so the next investigation — on this machine or any other in the fleet — starts from a known pattern, not a blank page.