Aidalos logo green

Aidalos

Motivation

  • Systems become increasingly automated, in the strive towards smartness; smart bridges, smart cities, smart vessels, smart whatnot
  • Number of IoT sensors and corresponding volume of time series data increase continually, at an annual growth rate up to 25%
  • Little value in data, insight is needed for understanding the true state of the monitored system, to detect situations requiring attention
  • But there is often no human resources available 24/7, with enough time at disposal, and with sufficient competence to create insight

Aidalos’ (SHM) Solution

  • A unique assembly of traditional machine learning methods and large language models analyze data and produce system status assessments
  • An Aidalos AI agent will tirelessly, efficiently and continuously analyze huge numbers of time series, sensor data streams
  • The AI agents are instructed and trained at different levels, usage adapted, familiarised with physical structures & systems, sensor configuration and needs
  • Enabled with tools and orchestrated in an agentic network, Aidalos is a framework for the assembly and operation of virtual experts

Reach us at contact(at)aidalos.com