Collect
Connect alarms, tickets, comments, manuals and resolutions from the sources your company already uses.
AI for industrial maintenance
Every fault resolved makes the next one last less time.
Rusty Maintenance AI brings together alarms, incidents and past solutions to give technicians the most useful answer exactly when they need it.
Lower MTTRGuided response
More shared knowledgeWithout relying on one person
Connected dataKeep your existing systems
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Scanned assetAtlas Line · Station 12
Production
ACTIVE ALARM
94% match
Home position not achievable
3 similar incidents resolved on this asset in the last 90 days.
01 Most likely solution
Check stopper alignment and the position sensor
- 1 Check that the pallet is centred before clamping.
- 2 Check the sensor signal in I/O diagnostics.
- 3 Reposition the stopper and run the homing sequence.
Previous resolution: 6 min
When a line stops, time is lost on...
01 Searching old messages
02 Finding the expert
03 Repeating diagnostics
04 Documenting afterwards
From data to action
Your team’s experience, available in seconds.
Rusty Maintenance AI turns scattered information into a searchable technical knowledge base that provides context and grows more useful over time.
Connect
Organise each event by asset, alarm, symptom, cause, solution, time and outcome.
Recommend
When a new fault occurs, prioritise similar cases and suggest checks based on actual maintenance history.
Learn
The technician confirms the outcome, making the solution available to the next shift.
Measurable impact
It is not about having more data.
It is about less downtime.
Value comes from shortening search, diagnosis and escalation. Every minute recovered restores line capacity and reduces pressure on the team.
- ✓Reduce mean time to repairPast experience is matched to the right asset and alarm.
- ✓Retain technical knowledgeSolutions stay available when shifts change or an expert leaves.
- ✓Identify recurring faultsRepeated faults become visible patterns that inform preventive actions.
Response time exampleAdjustable scenario
Before22 min
→
With Rusty Maintenance AI4 min
18 minless per incident in this example
Actual reductions depend on the process, the quality of historical data and team adoption.
Estimate the business case
What does it cost to search for a solution that already exists?
Enter three figures from your operation. The calculation shows the monthly potential if Rusty Maintenance AI recovers those minutes per incident.
Incidents × minutes saved × cost/minute
Time recovered / month54 h
Avoidable downtime cost / month113.400 €
Annual potential1.360.800 €
Indicative estimate, not a savings guarantee. Implementation costs and other operational effects are excluded.
Built to fit your factory
Connect to your existing systems. No need to replace them.
Every customer records alarms and documents repairs differently. The architecture is designed to adapt to those sources.
SCADA / HMICMMS / TicketsTeams / ChatManuals / SOPs
RRusty Maintenance AIIntelligence layer
Guided diagnosticsAsset / QR searchReports and trends
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Enterprise control by design
Enterprise authentication, role-based permissions and a data strategy compatible with each customer’s chosen system.
At the point of failure
Scan the machine.
Start with context.
A QR code identifies the asset, filters its history and lets you search the issues that belong to that machine.
No manual ID entryNo irrelevant resultsOn mobile or tablet
9:41Rusty Maintenance AI●●
ASSET IDENTIFIED
Nexo Cell · Clamping 03
⌕ Search this asset...
2 DAYS AGOClamp 3 cannot be detected
Sensor out of position · Resolved in 8 min
3 WEEKS AGOPallet not centred
Stopper misaligned · Resolved in 6 min
Key questions
Before starting a pilot
Does AI make decisions about the machine?+
No. Rusty Maintenance AI helps find information, compare cases and guide diagnosis. The technician stays in control and validates every action.
Do all data need to move to a new platform?+
Not necessarily. Integration is defined around each customer’s policies and systems. The aim is to retrieve and enrich information without forcing a complete replacement.
Can it work with incomplete historical data?+
Start with one area, a set of assets and the available sources. Quality improves as the team validates solutions and documents new cases.
How is the return demonstrated?+
Compare indicators before and during the pilot: response time, MTTR, recurrence, escalations and downtime minutes avoided.
Start with one line