About Reliability Factory
Reliability is an engineering job.
We bring together industrial experience and AI to help teams understand failures, improve maintenance and act on the evidence.
More than 50 years of combined experience across our founder and expert partners.
Why Reliability Factory exists.
Before an investigation can move forward, someone has to find the maintenance history, reconcile the exports and piece together what happened. Too often, that means rebuilding context the plant already has.
Reliability Factory was created to reduce that work. We connect scattered data and engineering evidence so teams can spend more time understanding the failure, testing the reasoning and deciding what to change.
AI moves the work forward. Engineers make the call.
AI helps retrieve, structure and connect information. Engineering judgment stays at the centre of every study.
- Evidence you can follow
- Material claims stay linked to their sources, so your team can check how a conclusion was reached.
- Conclusions you can challenge
- A reliability engineer reviews every conclusion. Gaps and uncertainty remain visible, with room to question the reasoning.
- Knowledge that stays yours
- Your data never trains a public model. The evidence, decisions and knowledge remain client-owned.
The next investigation should start further ahead.
A completed study leaves behind more than a report. It connects assets, failure modes, evidence and decisions that can help with the next problem.
Reliability OS keeps that context connected and traceable. It supports how we deliver the work, without requiring clients to deploy another platform.
Explore Reliability OSExperienced engineers, working together.
Reliability Factory works in partnership with reliability specialists who go on site, investigate failures and work directly with maintenance teams. Our collective experience comes from working with real equipment and the people who keep it running.
These collaborations bring field observations and practical experience into the analysis, so recommendations account for the equipment, operating conditions and constraints of the plant.
The Reliability Factory community
We also share practical reliability knowledge and ways to apply AI to reliability engineering with the Reliability Factory community on LinkedIn. A place to exchange ideas and learn from each other.
Follow Reliability Factory on LinkedInStart with one costly problem.
A recurring failure, an asset driving losses or a maintenance plan that needs a closer look.