Fleet intelligence,
situation by situation.

Every maintenance alert, every allocation decision, every grounding risk — these are situations that recur. Plasma detects them, selects the response, and acts.

Trusted byAKIEM
Real-time
Event to decision
Billions
Of events turned into insights
Anticipated
Failures caught before breakdown
The Situation

Thousands of assets. Dozens of recurring situations.

A locomotive approaching a maintenance threshold. An unplanned grounding requiring reallocation. A sensor anomaly that needs triage. These situations recur daily across a pan-European fleet — each with a predictable response that used to require coordination across teams, tools, and time zones.

Situations autonomated

What the system handles.

01

Maintenance threshold reached

Sensor data crosses a threshold. The system detects, checks the maintenance policy, and schedules the intervention — before the locomotive is grounded.

02

Unplanned grounding

A locomotive goes offline. The system identifies available replacements by route and certification, and proposes reallocation. Operator approves or the system acts under policy.

03

Sensor anomaly

A reading deviates from norm. The system correlates with maintenance history and fleet-wide patterns, and triages — alert, schedule inspection, or no action. Full trace.

04

Fleet status consolidation

Every asset's status, location, and health — unified in one real-time view. Not a dashboard to watch, but a signal source that feeds every other situation.

Outcomes

What it changes.

See
Every asset in real time — position, health and status across the whole fleet, in one live operating view instead of scattered tools.
Anticipate
Wear surfaced early from telemetry thresholds. Maintenance lands in planned windows, on your terms — not forced by a breakdown.
Act
Each recurring situation triaged and resolved under policy, with a full trace — reallocation proposed the moment an asset goes offline.
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