Pinpoint Splice Faults. Train Your Teams. Scale Your Quality.

The patented Splice Fault Detector is the industry’s first field-ready tool for real-time splice quality assurance, helping engineers test faster, train smarter, and prove network reliability at scale.

Poor Splices = Big Losses

Up to 10% of new connections fail early due to splice quality.

Every repeat visit costs time, money, and credibility.

Legacy validation tools are expensive, slow, or disruptive, so they’re often skipped.

    Features

    Direct Measurement

    No estimation algorithms -IR sensor technology detects real splice loss (0.25 dB+)

    Works on Live Fibre

    No service interruption, no red-light tests, no extra truck rolls.

    App + Cloud Analytics

    Traceability, pass/fail logging, fleet metrics, integration-ready API

    Redefining Splice Quality at Its Core

    Traditional splice tools depend on visual estimation and manual checks, often missing hidden faults that impact network performance. The Splice Fault Detector replaces guesswork with infrared precision, ensuring reliable, repeatable results, even in real-world conditions.

    Inaccurate Splice Loss

    Traditional fusion splice machines estimate splice quality using visual algorithms, often missing the true level of light loss. These estimation errors can hide defects that later impact network reliability and performance.

    Equipment Reliability

    Poorly maintained or misaligned fusion equipment increases the risk of faulty splices. Even small calibration issues can introduce light leakage and signal degradation that go undetected until failure.

    Core Misalignment

    Minor misalignments between fibre cores can cause significant optical loss, yet traditional tools often fail to recognise them. The result is reduced splice efficiency and costly rework across the network.

    Weather Variability

    Temperature changes, humidity, and other environmental factors can worsen flawed splices over time. Without accurate detection, these conditions lead to unstable connections and long-term maintenance issues.