본문바로가기

Technology

Agentic AI for the Physical World

  • Technology
  • AI Situation Prediction
Knowledge, Search, and Situation Prediction AI

AI that predicts future situations
and derives optimal responses

Predicts congestion or accident probability when applying specific policies through simulation and time-series analysis.
Derives response strategies suitable for current situations from vast manuals and past reports through Agentic RAG-based knowledge search.
Enables virtual scenario creation and evaluation in connection with spatial information and simulators.

Core Technology

  • 01

    Time-series and simulation-based situation prediction algorithm

  • 02

    AI high-speed search and Agentic RAG-based knowledge exploration

  • 03

    Policy and response scenario-based decision logic

  • 04

    Natural language query-based operation interface

Technical Features

  • Point 01

    Real-time situation prediction and risk response automation

  • Point 02

    Semi-automatic and autonomous judgment through AI agent collaboration

  • Point 03

    Spatial information and simulator integration scalability