---
title: "Predictive Maintenance | AimRank"
url: https://www.aimrank.io/products/predictive-maintenance/
description: "Predict equipment failure before it stops the line - remaining-useful-life estimates your planner can actually schedule around. AI prototype from €2,490."
language: en
updated: 2026-10-09
---

[Products · #10 · Operations & Forecasting](https://www.aimrank.io/products/)

TIER A BLUEPRINT

# Predictive Maintenance

Predict equipment failure before it stops the line - remaining-useful-life estimates your planner can actually schedule around.

scaffold from **€2,490**

## How it works

01

### Connect the sensors you have

Vibration, temperature, current, PLC tags - via your historian or OPC-UA. No new hardware required to start; we tell you if it's worth adding.

02

### Learn each asset's normal

Baselines per machine and per operating mode - so a heavy-load Monday doesn't look like a failure and real wear doesn't hide in the noise.

03

### Estimate remaining useful life

Named failure mode, confidence, and an honest P10-P90 window - a range your planner can schedule around, not a fake precise date.

04

### Turn warnings into work orders

Draft work orders into your CMMS with parts and window suggested; planner approves. Every alert and outcome logged for the loop.

## Methodology reference

The published method this build is based on, and what it did in production.

**Shell** scaled predictive maintenance to 10,000+ assets, running \~11,000 models to catch failures before they happen.

Fleet-scale failure prediction · as reported by [C3 AI ↗](https://c3.ai/shell-achieves-major-milestone-scales-artificial-intelligence-predictive-maintenance-to-10000-pieces-of-equipment-using-c3-ai/)

Referenced for methodology only. AimRank is not affiliated with, endorsed by, or a customer of these companies; each links to its own public source. Sources last checked September 2026.

## The Four Guarantees™ - this build

The scaffold wires all four in. The PoC proves them on your data, as of that day. Only Implementation keeps them true over time: watched, drift-checked, with recourse.

### Measured value

\~40% of failure-mode downtime converted to planned maintenance at reference fleet; eval gate: precision/recall per failure mode on your history.

### Defensible

Every alert carries the signature, confidence and sensor evidence behind it; alert-to-outcome log; no black-box "health scores".

### Self-improving

Confirmed and missed failures retrain per-asset baselines; alert precision tracked monthly; sensor drift and dead channels flagged.

### Yours & everywhere

Runs on-prem or in your cloud, next to the historian. Full source. MCP endpoint - your CMMS and copilots read fleet health directly.

## The number, sized honestly

Reference buyer: Lithuanian manufacturer - 30-80 critical rotating assets, an existing historian, unplanned downtime costing €2-10k per hour.

**\~40%** of covered-mode downtime moved to planned windows - the agreed number (conservative)

**2-4 wk** typical warning horizon on bearing and imbalance modes

**P10-P90** every RUL shipped as an interval, never a fake date

**\~3 mo** payback at the PoC price, at reference downtime cost

## Three ways to own it

| Tier | What you get | Price | |
| ---------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------- | |
| **Scaffolding** ★ | The full repo - telemetry pipeline, per-asset baseline models, RUL estimator with intervals, alert-to-work-order flow, MCP server. Reference run on public bearing datasets. | **€2,490** | |
| **PoC** ★★RECOMMENDED | Trained on your historian data - failure-mode precision/recall and warning horizon measured on your fleet's own history. Code + quality report yours. No guarantee until your sensors prove the signal exists. | from**€7,500** | |
| **Implementation** ★★★ | Production: live alerts into CMMS work orders, per-asset baselines maintained, sensor-drift monitoring, retraining on confirmed outcomes, monthly downtime report - the agreed number (conservative) attaches here. | from **€22,500**\+ from €900/month assurance | |

★ = engagement depth. **PoC is the recommended path**: quality proven on your data before production money. The PoC carries no performance guarantee by design; the agreed number (conservative) attaches at Implementation, informed by the PoC report.

## What we don't promise

**We can't predict failures that don't announce themselves.** Bearing wear, imbalance, cavitation - these leave weeks of signature in the data, and we catch them. A sudden shaft fracture doesn't, and anyone claiming otherwise is guessing. We report precision and recall per failure mode, and every RUL is a P10-P90 interval - if the window is wide, you see that it's wide.

## Ready to see your own number?

Request the build: within 48h you get a personal reply with the value sized to your volume.

No commitment · reply within 48h · your data stays in the EU