01
Per-Asset Baselines
Each machine is compared with its own history, not with a generic threshold that fits none of them.
Predictive Maintenance
New · Early accessAssetSense AI
AssetSense learns how each of your generators, vehicles and machines normally behaves, spots the drift that comes before a breakdown, and turns it into a work order with a likely cause.
Anomaly DetectionRisk ScoresWork OrdersDG · Fleet · MachinesExplainable Alerts
Anomaly Detection
Risk Scores
Work Orders
DG · Fleet · Machines
Explainable Alerts
How It Works
How AssetSense works
Sensor readings in, a scheduled repair out, before the unplanned downtime.
- 01Sensor DataFrom our DG, Fleet or IoT products, or yours
- 02BaselineLearns each asset's normal behaviour
- 03Detect DriftTemperature, vibration, fuel, load trends
- 04Risk ScoreLikelihood of failure, ranked by asset
- 05Work OrderRaised with a probable cause & parts
- 06FeedbackTechnician outcome sharpens the model
Key Features
What it does
Maintenance planned on evidence, not on the calendar alone.
02
Explainable Alerts
Every alert says why, for example coolant temperature rising faster than this unit's normal, with the chart to prove it.
03
Failure Risk Ranking
A daily ranked list of which assets need attention first, across every site.
04
Automatic Work Orders
Alerts become work orders with the probable cause, checklist and spare parts attached.
05
Works With What You Have
Runs on data from our DG, Fleet and IoT products, or from your existing sensors, PLCs and SCADA exports.
06
Learns From Every Fix
Technicians record what they found, and the model gets better at telling real faults from noise.
Who It's For
Where it earns its keep
The teams that get the most out of AssetSense AI usually look like one of these.
DG fleets
Generators across many sites where one missed fault means an outage.
Transport fleets
Vehicles where a roadside breakdown costs far more than a planned service.
Plant machinery
Pumps, motors and compressors whose failure stops the line.
Data & Safety
Built to be
trusted with your data.
AI is only useful in a business if it is predictable. These are the rules AssetSense AI is built around.
Read-only by design
AssetSense reads telemetry; it does not send commands to your equipment.
Your data, your models
Models are trained per customer, and your telemetry is never shared.
Runs where you need it
Cloud by default, with an on-premise option for sites that cannot send data out.
Early Access
How the pilot works
AssetSense AI is new. We are onboarding a small number of pilot customers and shaping the product around them, so you get our engineers' direct attention.
01
Scope on a real sample
Share a representative sample of your data or conversations and the outcome you need. We tell you plainly whether it is a good fit.
02
Run it alongside your team
The pilot runs next to your current process, so nothing depends on it until the results are in front of you.
03
Decide on the results
You see measured accuracy and time saved on your own data, then decide whether to roll it out.
Working With Us
From first call to go-live
The same engineers who build our products deploy and support them.
01
Walkthrough on your data
We start with a session on your actual process and a sample of your real data, not a slide deck.
02
Configured, not rebuilt
Fields, workflows, roles and reports are set up to match how your team already works.
03
Rolled out in slices
One team or site goes live first; the rest follow once it has proved itself.
04
Supported by the builders
The engineers who wrote it handle your support tickets and change requests.
See it on
your own data.
Tell us how the work is done today. We will show you what AssetSense AI changes, and be straight with you if it is not the right fit.