ATTACH + IDENTIFY
Know the exact machine and measurement point.
The proposed flow uses RFID-assisted discovery, followed by human confirmation of site, equipment, sensor position and orientation.
Wireless condition monitoring + AI-assisted review
See what needs attention—and what to review next.
Predict is being designed around a wireless node that records vibration and temperature at a suitable measurement point. The demo shows how an AI-assisted briefing could summarise a change, organise risk indicators and prepare a draft action for human review.
Planned RFID-assisted setupDesigned for a 12–24h baselineTarget ten-minute data cadenceHuman review required
Product workflow shown with simulated demonstration data. Hardware and specifications remain subject to engineering validation.
SIMULATED LOOP · MOTOR 04Attention
3.8mm/s RMS
Vibration
Vibration
Change detected
Bearing-side vibration is rising.
Proposed Predict workflow
From a proposed ten-minute sample to a reviewable decision record.
Predict is designed to connect machine context, evidence, people and maintenance response in one reviewable workflow.
LEARN NORMAL
Build a baseline around how this machine runs.
The proposed flow compares each new vibration and temperature packet with a selected 12- or 24-hour learning profile.
EXPLAIN THE CHANGE
See the evidence, not a mysterious score.
The simulated workflow shows how an AI-assisted summary could describe what moved, when it moved and why it may matter.
TURN IT INTO WORK
Move from finding to accountable action.
The demo shows how a reviewed finding could become a work order, notification and audit record, with a fresh baseline after repair.
✦ PREDICT AI BRIEFINGSIMULATED EXAMPLE
“What needs attention before the next shift?”
1
Packaging Machine 5 needs action first.Drive-end vibration reached 6.4 mm/s at 14:20 and crossed the danger threshold.
- Likely finding
- Bearing spall pattern
- Time window
- Plan within ~6 days
- Confidence
- 93% · model estimate
Evidence+42% vibration in 24hTemperature 79°C3 corroborating packets
Recommended next step Inspect the drive-end bearing and verify alignment during the next planned stop.
Technology with a human backstop
Designed for review by people who understand machines.
Software can highlight a change. Engineering judgement is still required before it becomes a maintenance decision.
Talk to our engineering team ↗Designed for engineer review
Findings remain advisory until an authorised person reviews the evidence and decides what to do.
Data choices discussed up front
The Sapien platform, MQTT integration and potential self-hosted routes can be assessed for each customer.
Practical decision support
Bring the change, measurement point and suggested inspection into one reviewable record.
Scale only with evidence
Begin with a controlled evaluation and expand only when the results support it.
Built for busy maintenance teams
Know where to look when machine condition changes.
Machine condition can change before a failure is obvious. Predict is designed to track that change and give your team a reviewable next step without adding another screen to babysit.
Fit it. Identify it.
The proposed compact wireless node attaches to a suitable measurement point, then the team confirms the exact machine and position.
Vibration · mm/s RMSPattern change
SIMULATED BASELINEEXAMPLE · 5.7 mm/s
Designed to learn a baseline.
The proposed workflow compares vibration and temperature over time so a human can review meaningful changes against everyday variation.
SIMULATED SUGGESTIONInspect drive-end bearing
Plan during next maintenance window.
Priority · MediumYour team gets clarity.
The demo shows how a plain-English alert could support a human review of what changed, where to look and when to respond.
Operations view + asset evidence
Designed for operations. Detailed when engineering needs it.
Start with the sites and assets that need action, then open the engineering evidence only when your team needs the detail.
- ✓ Plain-language site priorities
- ✓ Simulated AI-assisted briefing linked to shown evidence
- ✓ Clear work owner, status and next step
- ✓ Target ten-minute cadence with battery status
PredictInteractive operations preview · simulated dataUpdated 14:20 · Europe/LondonOPERATIONS OVERVIEW
Open full dashboard ↗All 15 sites
A clear view of what needs attention, who owns it and what happens next.
✦
SIMULATED AI-ASSISTED BRIEFINGAsk the fleet, not another spreadsheet.
133 assets need attention in All 15 sites. Packaging Machine 5 is the first action because its simulated pattern has crossed a reviewed alert threshold.
Based on simulated asset trends, work orders and the latest 10-minute node packets.MONITORED2,000nodes in selected scopeNEEDS ATTENTION133prioritised by riskLEARNING2112–24h baselineLOW BATTERY34below 25%
NODE CONDITION · SIMULATED DEMONSTRATION133 need attention
Latest vibration and temperature readingsHEALTHY1,846WARNING105CRITICAL28LEARNING21
SUGGESTED NEXT REVIEWInspect the indicated component
Critical- Asset
- Packaging Machine 5
- Site
- Riyadh Line 1
- Latest evidence
- 6.4 mm/s · 79°C
- Work status
- Not planned
PRIORITY ASSETSITEFINDINGILLUSTRATIVE PLANNING WINDOWWORK COVERAGE
Packaging Machine 5Riyadh Line 1Bearing spall pattern~6 daysCreate order ↗“
Start with the machines that keep you awake at night.
Once the hardware is validated for field use, a controlled evaluation can test the proposed workflow on your equipment before any wider rollout.
STAGE 01
Choose the assets
Together, we select a small set of appropriate rotating machines and agree the evaluation criteria.
STAGE 02
Install & learn
Approved hardware is installed at a suitable measurement point and gathers an operating baseline.
STAGE 03
Review the evidence
Your team compares the measured data, alerts and maintenance decisions with the agreed criteria.
Common questions
A controlled first step.
Agree the machines, evidence criteria and safety boundaries first. Installation follows only after the hardware and site method are approved.
What is Predict designed to monitor?
Predict is being designed to monitor vibration and temperature on suitable rotating industrial equipment.
Do we need new wiring?
The proposed nodes are wireless. Installation, connectivity and mounting still need to be checked for each site and machine.
Can we keep control of our data?
Data ownership, MQTT integration and potential self-hosted routes can be agreed during technical and contractual review.
How should we start?
Begin with a small group of suitable machines, agreed success criteria and a human review process.
Let’s start small
Which machine would you choose first?
Tell us what you’re monitoring and what keeps failing. We’ll help shape a practical first step.
Talk to an engineer 15-minute machine review
Show us the machine you cannot afford to lose.
We’ll discuss the asset, operating context, connectivity and whether a future controlled evaluation could be appropriate after hardware validation. No plant-wide commitment.