Reliafy turns failure and condition data into decisions: when to replace, when to inspect and how many spares to hold. Life data and Weibull analysis, reliability block diagrams, RCM and fleet forecasts, in one place.
Fit Weibull, Lognormal, Exponential, Gamma, Normal, and proportional-hazards models to exact, censored, and truncated failure data. Probability plots with confidence bounds, goodness-of-fit, and a survival calculator.
Wire components in series, parallel, k-of-n, and standby on a drag-and-drop canvas to compute system reliability, MTTF, importance measures, and minimal path/cut sets.
Rank every candidate distribution against your data, compare two designs head-to-head, and find the cost-optimal preventive-replacement interval.
Fit per-unit wear paths to a failure threshold, then track in-service items and predict when each will cross it — with credible intervals that tighten as inspections come in.
Build Function → Failure → Mode worksheets where each maintenance decision links to the analysis that justifies it — and is checked again every time you open the study.
Upload a CSV once and reuse it across models. Saved models reopen instantly, and everything is private to your account.
Each decision in an RCM study can link to the analysis behind it: a run-to-failure call cites the non-repairable model that shows failures are random, a fixed interval cites the cost-optimal replacement analysis, condition monitoring cites the degradation model.
And the links stay live — when new data shows a "random" failure mode is actually wearing out, the study flags the decision as contradicted instead of letting it quietly go stale.

Your inspection sheets already contain the failure dates of equipment that hasn't failed yet. Fit a degradation model from historical wear data, register the items you're running today, and get a remaining-useful-life estimate for each one.
Every new reading tightens the prediction. Health badges turn from healthy to plan-replacement to replace-now while there's still time to act.

Shared team workspaces where everyone sees the same models, analyses, and diagrams. Viewers are free; editing comes with Pro. Or share a single analysis, view-only, with anyone.
Ask in plain language and the assistant acts in the app: fits models, builds RBDs, runs replacement calculations and tracks degradation — with your data, on your screen.
The full toolkit is AGPL-licensed and self-hostable with one command, built on the open-source SurPyval and RePyability libraries. Your data can stay on your hardware; the cloud adds accounts, teams, and the assistant.
The core is open source and always will be: run it yourself at no cost, or start on Cloud Free and move to Pro when the work grows. The cloud adds accounts, teams, the AI assistant and zero setup.
Run Reliafy on your own hardware. Your data never leaves it.
The hosted app, ready in seconds. Everything you need to start.
For working reliability engineers who live in their data.
Reliafy across your organisation, with our team behind it.
Upload a CSV, fit a model, build a system, and decide when to act — in one place.
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