Predictive maintenance for industrial assets
Install our sensors once, have access to every data point and potential failure point forever.
The problem
Critical assets are still checked by periodic snapshots. Everything between two snapshots is a blind spot — and that is where failures grow.
Today — snapshot inspection
Inspect
Inspect
Inspect
Failure
Inspect. Go blind for a year or more. In the gap, corrosion and cracks grow unwatched — and the first clear signal is too often the failure itself.
Corrosion pit · found at outage
D. Mawhinney · CC BY-SA
External corrosion · process line
NIOSH · public domain
Pitting · in-line inspection
Koz5000 · CC BY-SA
With Helix — continuous
Caught at hairline
A sensor wrap reads the asset 24/7. Damage shows up while it is still small — a trend on a dashboard, not an emergency in the plant.
That is predictive maintenance: fix the small thing on your schedule — never the big thing on its own.
The business case
You already pay for not knowing: inspection campaigns, conservative operating limits, early replacements, and the failure that finds you first. Continuous data flips every one of those.
Run closer to real limits with a live feedback loop instead of conservative guesses.
Damage caught as a trend, repaired in a planned window, not as an emergency.
Recurring campaigns, scaffolding, and access work collapse into occasional verification.
Measured degradation rates justify safely running the asset longer.
At-height and confined-space inspection hours come off the books.
The ROI model
Book a meeting and we'll build the ROI model live on the call: how much you'd save on inspection campaigns, throughput, and deferred replacements, and the failure risk you're carrying between inspections today.
In most models the inspection savings alone carry the case. Everything after that is upside.
Next step
Bring one asset you wish you could see. In thirty minutes we walk the platform and build the business case with your numbers.
