Faster Machine Fault Diagnosis

A field-ready system that helps industrial engineers quickly find relevant machine context during troubleshooting — when every minute of downtime matters.

View on GitHub Pricing

Built for troubleshooting under pressure

Machine overview

Access machine context, structure, and maintenance history in one place during diagnostics.

Fault & repair history

See previous breakdowns and how experienced engineers solved them in the past.

Log a failure during work

Quickly document symptoms and actions without breaking diagnostic flow.

Instant access via QR

Scan a QR code on the machine to immediately open its full troubleshooting context.

The real problem in the field

Machines fail under time pressure, and diagnosis must start immediately
Relevant repair knowledge exists, but is scattered across systems and notes
Engineers rely on experience and intuition — not documentation
Finding the right reference often takes longer than identifying the issue itself

The bottleneck is not expertise. It is time-to-signal during fault isolation.

What changes with this system

Relevant machine context is accessible during diagnosis
Previous failures and fixes are searchable in seconds
QR codes remove navigation overhead in the field
Engineers spend less time searching, more time fixing
Knowledge becomes a support layer, not a dependency

Designed for real engineering environments

Does not replace engineering expertise
Reduces time spent finding relevant information
Works alongside existing maintenance processes
Can be self-hosted inside industrial infrastructure

Open source & transparent

MIT License
Run it locally or in your infrastructure
No vendor lock-in
Full source code available for inspection
Designed for adaptation in real industrial environments

You can deploy it, inspect it, and modify it before making any long-term decision.