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