Products · #10 · Operations & Forecasting

TIER A BLUEPRINT

Predictive Maintenance

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

from €2,490

TELEMETRY - PUMP P-12 · LIVE

Sensor traces - last 30 days

VIBRATION RMS mm/s

BEARING TEMP °C

MOTOR CURRENT A

⚑ vibration trend +34% · bearing-wear signature

Asset health - P-12

bearing wear · conf 0.91 · failure mode known

RUL ≈ 18 days P10-P90: 9-31 d

0 d20 d40 d

parts in stock ✓ window: Sat 02:00 ✓ line impact: none ✓

🟡 WORK ORDER DRAFTED - planner approves. Planned Saturday swap, not a 3 AM emergency.

fleet ▸ 46 assets · 2 flagged · 14 h downtime avoided this quarter · all logged

How it works

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.

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.

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.

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.

The Four Guarantees™ - this build

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-correcting

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 tier 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

★ = 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