Enhance infrastructure integrity effortlessly.

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Patented AINGURA's ML algorithms to assess civil infrastructure safety, detect anomalies, estimate degradation, and optimize lifecycle through a centralized Global Knowledge Network.



    The risk is considerably reduced

    • Avoid accidents due to total or partial collapse.
    • Anticipates unexpected damage before it becomes irreparable.

    80% reduction in inspector visits

    • 10-25% reduction in preventive maintenance costs.
    • Prioritized maintenance based on asset degradation. Estimated ROI ranges from 4 to 7 years.

    Continuous performance evaluation detects anomalies

    • Over 25% reduction in infrastructure downtime.
    • Objective metrics for damage assessment and repair quantification.

    System learns with similar bridges through consensus learning

    • Reduces calibration needs improving monitoring readiness.
    • Captures data from third-party monitoring systems, dataloggers, or databases.
    • Reduces reliance on destructive testing.
    • Facilitates testing of new materials and sensors.
    • Reusable knowledge for future projects.


On-site indicator tracks infrastructure integrity in real time

Swiftly identifying and analyzing structural issues for agile anomaly detection.

Monitored infrastructures integrate machine learning information

The model allows to check the behavior against new conditions.

The platform combines real-time Health Indicators with available data

Operators intervene only during alarms, accessing real-time information for analysis and decision-making.

Aingura's solution for monitoring the structural health of bridges brings a high degree of effectiveness and efficiency to bridge maintenance, reducing the need for complex data analysis except when it is really needed, when structural problems are detected.
Eduardo Sainz de la Encina Head of Road Innovation Service at DFB
Our collaboration with Aingura has been easy, nice and successful, helping us in introducing AI in our CNC milling machines and also in our finished goods when they are installed in our customer’s railway line. This collaboration opens new windows of opportunity in terms of internal e ciency and product development.
Jon de Lapatza General Manager de Amurrio Ferrocarril y Equipos, S.A.
In addition to Aingura’s capacity for innovation and development, the projects we have carried out with their dynamic, professional team, have demonstrated their considerable expertise in the field of IIoT
Dra. Patricia Caballero Dtra. de Tecnología e I+D Fundición. Amurrio Ferrocarril y Equipos, S.A.