HELIX

Continuous condition monitoringfor critical assets.

The software, on a real asset,
in your browser.

Try the demo

See what HELIX sees

From point cloud to maintenance forecast.

A pipe gallery at a Fisheries and Oceans Canada site, travelled along slowly: first as a point cloud, then as a textured 3D model of the aged steel, then with its wall-thickness readings in colour.

Capture. LiDAR and photographs of the pipe, as a point cloud.6

Aged steel pipe on concrete saddles in a pipe gallery at a Fisheries and Oceans Canada site, captured in 3D, passing slowly

Aging infrastructure is starting to fail.

Erosion and corrosion thin a pipe's wall from the inside, out of sight. A line is inspected once every one to five years, and everything in between is a blind spot. When a critical line bursts, the operation stops. Internal corrosion caused 38% of Alberta's 277 pipeline incidents in 2025.1

HELIX Horizon solves it.

Every survey and wrap reading lands on a 3D model of the real asset, where it is trended and forecast. Horizon is the software. The Sensor Wrap feeds it.

A screen recording of HELIX Horizon: the cursor reads the wall along a pipe loop, picks a bend, tightens its colour band, fades the readings to show the pipe, opens its figures, flies the camera round the loop, zooms in and out, runs the forecast forward, then steps through the forecast plot on the asset dashboard

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What HELIX looks for

Corrosion, erosion and pitting.

What thins a wall, read through coatings and insulation. And LiDAR, for a 3D model of the asset itself.

A section of pipe on concrete piers with a band of wall-thickness readings, green to red, wrapped around it

Internal corrosion

Wall lost from the inside, mapped across the pipe.

A U-bend in a pipe loop, its wall-thickness map turning orange and red along the outer curve

Erosion

Thinning on the outside of a bend, where the flow hits.

A close view along a wall-thickness map on a pipe, spotted with small red areas of deeper loss

Pitting

Small, deep spots of wall loss across the surface.

A point cloud of a pipe gallery at a Fisheries and Oceans Canada site, its points coloured from photographs, drifting slowly past

LiDAR for 3D models

The asset as it stands, captured in 3D.

Corrosion and pitting: the MIC demo station, simulated data. Erosion: a HELIX demo asset. LiDAR: a Fisheries and Oceans Canada pipe gallery.6

Why it pays

Over $1 million saved per dig site.

Inspect a buried line every five years for thirty years and it is dug up six times, at about $300,000 a dig. A Sensor Wrap goes on during the first dig and reads the wall from then on, so the line no longer has to be dug up just to be checked.7

And better data than periodic inspection.

Repairs before failures

30-40%

lower maintenance cost than running to failure2

Maintenance when the wall needs it

8-12%

saved again over a fixed preventive schedule3

Intervals from measured rates

2×

the margin the code can set, at half the remaining life4

Copper sensor coils on the flexible wrap substrate, close up, catching the light

How it works

Enabled by our Sensor Wraps.

Our patent-pending dense sensor arrays, on a flexible substrate.

A flexible sheet of sensing coils, strapped to the pipe, reading wall thickness around the clock. Every forecast in Horizon is built on it.

A flexible sensor wrap with copper coils being strapped around a pipeline at sunset

Strapped to an in-service line.

Installed from outside. Nothing is cut, drained or shut down.

The sensor wrap on a pipeline turning translucent to show the wall-thickness map underneath it, green where the wall is sound and red where it is thin

Read as wall thickness.

Green where the wall is sound, red where it is thin, for as long as the wrap is on.

Forecast

Sensor Wrap data feeds predictive maintenance models.

Which spots are thinning, how fast, and when each reaches its limit. Move across the chart and the elbow follows.

Wall-thickness readings every hour

The wrap reads the wall under every coil, day and night.5

A wall-thinning rate for every spot

Each spot's own history gives it its rate.

A date against your minimum wall thickness

Each rate runs forward to your minimum wall, with a confidence band.

Asset intelligence

Wrap one. Understand many.

A risk-based inspection program can cover tens of thousands of assets, and most are inspected rarely, if at all. Horizon carries what one wrap learns to the assets like it, such as the straight run below a wrapped elbow, so their risk rankings start from measured data.

HELIX Horizon's viewer with a pipe loop, one bend selected with its wall-thickness readings in colour and its histogram panel open

One wrap measures.

A Sensor Wrap on one bend, read in Horizon: every reading on its spot, the histogram beside it.

The predicted wall-thickness over time plot in HELIX Horizon: measured history in blue, then a forecast fan running toward the replacement level

Assets like it learn from it.

That bend's forecast, with its confidence band, becomes the model for similar sections with no sensor, like the straight run below it.

The RBI dashboard in HELIX Horizon: a location's sections by risk, with a five by five likelihood and consequence matrix

More accurate RBI.

Each section lands on your risk matrix in the RBI dashboard, ranked from measured data, so inspection goes where the risk is.

In Horizon: the RBI dashboard

A screen recording of the RBI dashboard in HELIX Horizon: three locations, each with a risk matrix; one location opens to its five-year count, the worst cell of its matrix is selected, and the page scrolls through the forecast charts to the pipe sections in that cell

The RBI dashboard in Horizon: every section's forecast, placed on your own risk matrix.

Documents

Research-backed technology.

The methods behind the instruments and the wrap are in the published literature, and our results are written up. All of it is open to read.

Running on critical assets now

3,200+

ft² of scanned area

360M+

industrial data points collected

12×

return on one survey engagement

Deployed with, and supported by

Fisheries and Oceans Canada National Research Council Canada
Meet the team

Start a pilot

Start with one critical asset.

One location you already inspect, measured both ways and scored against your own inspection data. Horizon access is included.

  1. 1.Alberta Energy Regulator, Pipeline Performance: 277 pipeline incidents in Alberta in 2025; internal corrosion the leading cause, at 38%. Source
  2. 2.US Department of Energy, Operations and Maintenance Best Practices, published by PNNL: 30 to 40 percent lower maintenance cost for facilities moving from reactive to predictive maintenance. Source
  3. 3.The same guide: 8 to 12 percent saved over a scheduled preventive maintenance program. Source
  4. 4.API 570, Piping Inspection Code: in some cases thickness-measurement intervals are set at half the calculated remaining life, subject to the maximum interval for the piping class. Source
  5. 5.Reading interval from the live Sensor Wrap pilot: 4,800 readings in 8 hours. HELIX monitoring is screening, not certification, and does not replace a code-required inspection.
  6. 6.The 3D views on this page are rendered from models exported from HELIX Horizon. The MIC demo station is a simulated test asset, and all of its data is simulated.
  7. 7.Illustration: a buried line excavated every five years for thirty years at about $300,000 an excavation, about $1.8 million, against a Sensor Wrap installed during the first excavation. Excavation costs vary by site. HELIX monitoring is screening and does not replace a code-required inspection.