Asset intelligence · Rotating equipment

From monitoring to intelligent action.

Agentic AI for rotating-asset reliability. MotionGrid predicts failure risk months ahead, prioritizes maintenance, and closes the loop with auditable action — on top of the systems you already run.

Months → quartersprediction horizon
Pumps · compressorsturbines · motors
Auditableclosed-loop actions
Predictive Maintenance Dashboard
Health score
{{ healthPct }}%
▲ +3.2%
Avg MTBF
{{ mtbfHrs }} hrs
target 3,000
Critical alerts
3
12 warnings
Downtime forecast next 9 months
JanFebMarAprMayJunJulAugSep
P-124Centrifugal pump82% · 6 wk RUL
C-201Compressor64% · 4 mo RUL
Sector A · Pump train
● Vibration 4.2 mm/s ● BEP 96%
Next planned shutdown
● WO-4471 · P-124 · March window
Built by engineers from
ShellGESLBBaker HughesAppleLloyd's RegisterDNV
The problem

Visibility alone doesn't prevent downtime.

Traditional condition monitoring shows trends, alarms and anomalies. Teams still spend valuable time asking what matters, what will fail, and what to do next.

01

Review cadence is weekly or monthly, by a CM engineer.

02

Warnings arrive in hours to days — rarely sooner.

03

Outcomes depend heavily on one individual expert.

04

On many assets, the work still runs as firefighting.

The shift

From reactive to proactive — and from days to quarters.

MotionGrid doesn't replace condition monitoring, DCS or offline tools. It adds the long-range layer that is missing.

Condition monitoring today
short-term proactive
hours · days
MotionGrid
long-term proactive
months · quarters
hoursdaysweeksmonthsquarters
Reactive
  • Alarm-driven — detect issues late
  • Interpret dashboards manually
  • Respond after escalation
Proactive
  • Predict failure risk with lead time
  • Prioritize what needs attention
  • Trigger timely, auditable action
Motion AI

Ask the system. Get asset-specific answers.

Motion AI turns complex asset data into a conversational experience — no dashboards to learn, no queries to write.

↳ Click a prompt — or type your own in the chat.

Motion AI Online
{{ m.text }}
WO-4471 {{ m.text }}
P-124Centrifugal pump82% · 6 wk RUL
C-201Compressor64% · 4 mo RUL
P-087Booster pump51% · 5 mo RUL

Every answer carries its evidence and history.

How it works

Sits on top of your stack. No rip-and-replace.

MotionGrid ingests the data you already have and closes the loop back into the systems your teams already use.

01

Ingests what you have

Sensors, SCADA, historian, inspection data and CMMS.

02

Adds asset context

Signal analytics, thresholds, BEP and trend features.

03

Predicts, then explains

Failure scoring and rules, surfaced through Motion AI.

04

Closes the loop

Technician updates return to the models as learning.

Run the asset to the planned shutdown, not to failure.

Every monitored asset carries a quantified probability of failure and a remaining-useful-life estimate with model confidence attached — placing the work inside the next planned shutdown, using the service life you have already paid for.

HealthyAnomaly detectedPlanned shutdown ▾Failure

Prediction becomes action. Action becomes learning.

01 →
Prediction
Risk detected or forecasted
02 →
Task created
Automatically or by the team
03 →
Technician action
Work executed, observations captured
04 →
Audit trail
Outcome documented with time and notes
05 ↺
Feedback to system
Updates models for continuous learning
BEP performance

See how far the pump is from its best operating point.

MotionGrid compares actual flow and head with the corrected OEM curve, then shows the specific operating change required to return the pump to its preferred operating region.

Pump performance curve showing current flow at 78 cubic metres per hour, BEP at 96 cubic metres per hour, and preferred operating region between 80 and 110 percent of BEP
Flow guidanceShows the flow increase or reduction needed to approach BEP.
Head comparisonCompares measured head with the speed-corrected OEM curve.
Operating riskSeparates preferred, allowable, and outside-AOR operating zones.
Environmental impact

CO₂ avoidance from efficient operation.

MotionGrid estimates emissions avoided when an asset uses less electricity after operating closer to its best efficiency point. The calculation is simple, transparent, and configurable for the local electricity grid.

Estimated CO₂e avoided
1.75 tCO₂e
2,500 kWh saved × 0.70 kg CO₂e/kWh ÷ 1,000

How the estimate is calculated

Baseline energy12,500 kWh
Energy after optimization10,000 kWh
Energy saved2,500 kWh
Grid emission factor0.70 kg CO₂e/kWh
20%
Energy reduction in this example
Measured kWh
Compared before and after optimization
Local factor
Set by country, grid, and reporting period

Illustrative result. Reported CO₂e should use the facility’s approved electricity emission factor and the same measurement boundary for baseline and optimized energy.

Value over time

When the value arrives.

Value compounds as coverage grows. Each phase has something measurable attached, so a pilot can be judged before the twelve months are up.

Month 0–3

Connect and baseline

Existing data is ingested and assets ranked by criticality. Baseline MTBF is established per asset — the reference every later figure is measured against.

Critical-asset coverage 60–90%
Month 3–6

First predictions

Degradation is forecast ahead of symptom. Work orders start being raised from prediction rather than from alarm, and sync to your CMMS.

Accuracy on actionable alerts >80%
Month 6–12

Measurable shift

Corrective work converts to planned. The KPI movement shows up in your own reporting, on your own assets.

RUL forecast horizon 3–12 mo
−20–50%
Unplanned downtime
+15–40%
MTBF
−5–15%
Maintenance cost

Ranges observed on comparable programmes. Supporting MTA, CO₂ reduction and availability.

Assets & sectors

Built for rotating equipment.

Pumps Compressors Turbines Motors

Oil & gas

Keep critical trains turning between turnarounds.

Petrochemical

Protect continuous production from rotating-equipment trips.

Refineries

Avoid unplanned turnaround surprises.

Gas processing

Sustain throughput across compression trains.

Fertilizers

Keep ammonia and urea trains on-stream.

Drilling rigs

Offshore units run 70–140 pumps each — every one monitored.

Turn asset data into action.

A scoped pilot on a set of critical assets, targeting 60–90% coverage within twelve months — on the data you already collect.

STEP 01
Connect data
Ingest sensors, SCADA, historian, inspection data and CMMS.
STEP 02
Calibrate models
Tune predictions to your assets and operating envelope.
STEP 03
Prove value
Demonstrate long-range alerts and planned-maintenance wins.
Book a demo →
info@motiongrid.uk +44 7766 717516 +971 52 401 7612 WW1, London
MotionGrid SYSTEMS
Asset Intelligence for rotating equipment
motiongrid.uk · © 2026

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