Predicting site risk before it becomes an incident.
75% less time spent on reporting, across 12 use cases.
Safety and site data sat in separate systems, and understanding risk meant writing reports by hand every week. By the time a report was read, the risk it described had already moved on.
Site teams and leadership see risk as it builds, not a week later, and the hours that went into writing reports now go into acting on them.
What we built
- Connect
Real-time data
Site and safety data is brought in as it happens, from the systems already in use.
- Model
Risk prediction
Machine learning models score each site for how likely an incident is, so attention goes where it is needed next.
- Decide
Root cause analysis
Incidents are traced back to what they share, so actions fix the cause rather than the symptom.
- Act
Live dashboards
One live view replaces the weekly reports, for site teams and leadership alike.
From one use case to twelve in three quarters.
It started with one use case on three data sources, and grew to twelve use cases on ten data sources within three quarters.
More use cases
All use cases
Replanning the yard around a late vessel.Every customer gets a new time, without a single call.Read
Turning traffic camera counts into analysis anyone can use.An ongoing trial bringing vehicle counts from traffic cameras into one place.Read
Overnight faults fixed before customers notice.The right crew, with the right parts, sent first time.ReadBring one problem that costs you time today.
We will show you what it looks like solved.
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