What does EcoFeatures do?
EcoFeatures diagnoses concealed water supply pipes in high-rise buildings using physics-guided AI. It identifies whether a leak is present, its floor and flat, and whether it is inside a unit or in communal pipework.
Non-intrusive building pipe diagnostics
EcoFeatures uses physics-guided AI to diagnose high-rise water pipes from communal areas, locating tested micro-leaks as small as 0.01 L/s without opening walls, cutting pipes or entering homes.
The short answer
EcoFeatures is our startup developing a non-intrusive leak detection system for high-rise water pipe networks. By installing sensors in communal pipe ducts read hydraulic signals; physics-guided AI then identifies whether a leak is present, its floor and flat, and whether it is inside a unit or in communal pipework.
Measured on the real Tower 4 network using combined pressure and flow sensing. Accuracy ranges from 86% to 99% across sensor configurations and transient types.
A weeping joint far below the threshold of any manual survey — caught while it is still a maintenance item rather than an emergency.
Not a one-off inspection visit. The network is watched constantly, so intermittent leaks that hide between periodic surveys are caught.
Every sensor sits in the pipe duct or meter room, outside the residential unit. No access negotiation, no refused entry, no disruption to residents.
A single inference pass returns which floor, which flat, and whether the leak sits inside the unit or in the communal pipework outside it.
A hydraulic simulator synthesises the network from coarse building parameters, so missing or obsolete plumbing drawings stop being a blocker.
Hong Kong records more than 36,000 water seepage complaints a year, and investigating them costs the Government roughly HK$300 million annually. More than 35% of those cases close without the source ever being found. Water loss inside communal building pipes has risen five-fold since 2010, and over 50% of Hong Kong's buildings are already more than 30 years old.
The structural problem is that damage never appears where the leak actually is. A weeping joint on the 22nd floor migrates down slabs and along conduits and surfaces as a stain two floors below. By the time anyone can see it, the repair is already an emergency — and every existing method for finding it, from dye tests to moisture meters to microwave surveys, needs a technician inside somebody's flat.
EcoFeatures monitors the pipe itself Our physics-guided deep learning platform reads the hydraulic transients residents generate every time they open a tap, and converts an invisible liability into a monitored, manageable asset.
Turn the one part of a building nobody can inspect into a continuously graded, continuously reported asset class.
Catch defects while they are still small, so buildings stop waiting for failure and paying a premium to fix it under emergency conditions.
Prevent spalling, mould and ceiling collapse, and give managers a budgetable maintenance line in place of unpredictable emergency spend.
Blueprint-agnostic edge AI, built on transient analysis. Three steps from a duct-mounted sensor to a floor-and-flat answer.
Dual-mode edge nodes sit in the pipe duct and meter room — clamp-on triaxial accelerometers, or in-line pressure sensors where the building allows it. They capture the hydraulic transients residents create every time a tap opens, at 1 kHz. Nothing is emitted into the pipe; the system listens to the signal the building already generates.
A Method-of-Characteristics 1D transient flow model builds a high-fidelity digital twin of the network from coarse building parameters alone, generating over 220,000 synthetic training scenarios. This is what makes the system blueprint-agnostic — missing or obsolete plumbing drawings stop being a deployment blocker.
A hierarchical multi-task 1D-CNN, fine-tuned on site by transfer learning, answers four questions in a single inference pass within seconds: is there a leak, which floor, which flat, and is it inside the unit or in the communal pipework outside.
Owners and managers of ageing high-rise buildings whose concealed pipe networks are approaching or past their service life.
Estates 30 years and older, where seepage complaints, tenant disputes and refused access make conventional investigation slow and expensive.
Managers running multi-building portfolios who need a predictable maintenance line item instead of irregular emergency callouts.
Signature buildings where leak damage carries disproportionate financial and reputational cost, and disruption to occupants is unacceptable.
Bodies making capital expenditure decisions on communal pipe systems, often against subsidy schemes and rehabilitation programmes.
Clear answers
Direct answers for property managers, building owners and consultants evaluating a pilot.
EcoFeatures diagnoses concealed water supply pipes in high-rise buildings using physics-guided AI. It identifies whether a leak is present, its floor and flat, and whether it is inside a unit or in communal pipework.
No. Sensors are installed in communal pipe ducts and meter rooms, so diagnosis does not require entry into individual flats.
No pipe cutting or wall opening is required for clamp-on sensing. The hydraulic model can be built from coarse building parameters, so missing or outdated drawings are not a deployment blocker.
The smallest leak rate tested is 0.01 litres per second. EcoFeatures does not claim detection below that tested threshold.
A one-time survey that lowers the barrier to a first building, and a subscription that converts irregular emergency spend into a predictable monthly line.
Get in touch for pricing scoped to your building or portfolio.