

iSurface
About us
iSurface is a collaborative project by Munro Technology, Z Prime, and Axalp Technologies AG, redefining the way composite materials are monitored, maintained, and trusted in aerospace.
Composites are indispensable for lightweighting, yet their complex failure modes — such as barely visible impact damage — limit confidence and drive costly overdesign. iSurface directly addresses this challenge by embedding conductive fibre innovations into composite architectures, enabling the capture of structural data at the material level.
This data is processed through an AI-powered acquisition and predictive analytics platform, delivering continuous health monitoring, early fault detection, and robust decision support. The result is a new paradigm of intelligent composites: lighter yet more reliable structures, predictive rather than reactive maintenance, and significant gains in efficiency, resilience, and sustainability.
Collaborators
iSurface brings together Munro Technology (novel conductive fibre systems), researchers from Swiss university of applied sciences FHNW (Fachhochschule Nordwestschweiz), Z Prime (AI-driven data acquisition and predictive analytics), and Axalp Technologies AG (integration and aerospace commercialisation). Together, the consortium is redefining how materials, intelligence, and engineering converge to set new standards in aerospace safety and performance.
Find out more:
iSurface - https://zprime.ai/isurface-reducing-failure-in-composite-materials/
Munro Technology - http://www.munrotechnology.com/
Axalp Technologies - https://axalptech.com/
Z Prime - https://zprime.ai
Products

iSurface-enabled leading edge
Composites are prone to damage by low velocity impacts that can cause hard to detect, barely visible impact damage (BVID). iSurface enables embedded early warning system significantly reduces risk of catastrophic failure of aviation parts such as wings’ leading edges, propeller blades and other structures close to the ground and subject to Foreign Object Debris (FOD) impact. The new iSurface material is functionalised and has electric properties that not only strengthens composite structures but also generates clean, classifiable and interpretable signals. These sensed signals can declare the sum of energy and its location of the surface upon impact, bending and shearing events. The generated signals are linked to an advanced and novel material state AI-driven modelling diagnostics and prognostics.

iSurface-enabled Tail Section
Composites are indispensable for lightweighting, yet their complex failure modes — such as barely visible impact damage (BVID) — limit confidence and drive costly overdesign. In use cases such as aircraft tail sections and wing leading edges, Foreign Object Debris (FOD) remain one of the most insidious and costly risks in aerospace maintenance and safety. Even small, seemingly insignificant debris—gravel, dropped tools, or inadvertent footfall—can cause BVID that evades traditional inspection methods but may initiate catastrophic failure over time. iSurface directly addresses this challenge by embedding conductive fibre innovations into composite architectures, enabling the capture of structural data at the material level. This data is processed through an AI-powered acquisition and predictive analytics platform, delivering continuous health monitoring, early fault detection, and robust decision support. iSurface is a collaborative project by Munro Technology, Z Prime and Axalp Technologies AG, redefining how composite materials are monitored, maintained and trusted in aerospace.

Intelligent Composite Materials for Structural Health Monitoring
iSurface integrates electrically conductive nanoscale polymeric fibres with advanced AI multi-sensor modelling to create live, self-diagnosing composites. Designed for aerospace and wind turbine applications, the material provides real-time predictive warnings of barely visible impact damage and structural stress, reducing inspection costs and improving reliability. The technology is being developed by Munro Technology, Z Prime, and Axalp Technologies AG in collaboration with FHNW.
