Reliafy
Reliability engineering for asset-intensive organisations

Transform how you manage your assets.

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.

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Life-distribution modelling

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.

Reliability block diagrams

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.

Maintenance strategy

Rank every candidate distribution against your data, compare two designs head-to-head, and find the cost-optimal preventive-replacement interval.

Degradation & remaining useful life

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.

Evidence-linked RCM

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.

Your data, organised

Upload a CSV once and reuse it across models. Saved models reopen instantly, and everything is private to your account.

Reliability centred maintenance

Maintenance decisions that prove themselves.

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.

An RCM study: functions, functional failures and failure modes, each decision with its evidence status, including a contradicted run-to-failure decision
Degradation & RUL

Know when it will fail — before it does.

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.

A tracked item's remaining-useful-life outlook with a 95% credible band and predicted threshold crossing

Work as a team

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.

An assistant that does the work

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.

Open source at the core

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.

Pricing

Plans for one engineer or a whole organisation.

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.

Open source

Freeself-hosted

Run Reliafy on your own hardware. Your data never leaves it.

  • The full toolkit: modelling, RBDs, strategy, datasets
  • Unlimited saves, single-user
  • One-command install (docker compose)
  • AGPL-3.0, source on GitHub
View on GitHub

Cloud Free

$0forever

The hosted app, ready in seconds. Everything you need to start.

  • Save 3 datasets and 3 models
  • 1 RBD, 1 fault tree and 1 outage log
  • 1 reliability prediction, 1 maintainability prediction and 1 data library
  • Degradation tracking: 1 degradation model and 3 tracked items
  • 1 fleet failure forecast and 1 RCM study
  • Join team workspaces free (view-only)
  • Sample data and worked examples included
  • 25 AI credits to try the assistant
  • Try Reliafy from your AI agent: 20 tool calls a month
  • Secure sign-in, private to your account
Get started

Enterprise

Customper organisation

Reliafy across your organisation, with our team behind it.

  • Everything in Pro, for every engineer in your organisation
  • Dedicated support from the people who build Reliafy, with agreed response times
  • Proactive monitoring of your data feeds, models and integrations, with alerts before a gap becomes a wrong answer
  • Full graph access: ask questions across assets, maintenance history and failures that a table can't answer
  • Guided onboarding: we help bring your data in and get your team productive
  • Hosted in the region you need, on infrastructure we run for you
Talk to us

Built for the people who keep assets running.

Upload a CSV, fit a model, build a system, and decide when to act — in one place.

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