AUTONOMOUS

Physics AI

Autonomous manufacturing where AI decides and machines act

OVERVIEW

AI that goes past analysis to move the floor

Physics AI carries the AI's decisions through to what equipment, robots and logistics actually do — turning a factory that collects data into one that decides and acts on its own.

Sample line · simulated runRunning normally
Response time—sGood parts0EADefects0EA
1/3SENSEDetects the CNC-01 stoppage in real time

ROADMAP

From AI decisions to action on the floor

The data and decisions of every stage before carry through to what machines and robots actually do.

STEP 7 / 7
Foundation
  1. 01
    CONNECTEquipment connectionSignals from PLCs, sensors and legacy machinesView page ›
  2. 02
    DIGITALIZEDigital operationsProduction, quality, energy and work records in the systemView page ›
  3. 03
    DATAData standardsAssets and data in one format with AASView page ›
  4. 04
    AIAI decisionsPrediction and judgment from the dataView page ›
  5. 05
    OPTIMIZATIONOptimizationPlans and energy toward the best optionView page ›
  6. 06
    GXCarbon and energyEmissions accounting and reductionView page ›
This stage
  1. 07
    AUTONOMOUSFloor executionAI decisions carried into machines and robots

ARCHITECTURE

How data becomes a decision, then action

Five stages, from collecting floor data to driving equipment. Select a stage to open the data and technology it uses.

01SENSE| Perceiving the floor

Connects every piece of factory data in real time.

  • Equipment signals

    4

    • PLC
    • CNC
    • Robot
    • Sensor

  • Measurements

    6

    • Power
    • Gas
    • Flow
    • Temperature
    • Pressure
    • Vibration

  • Production & quality

    5

    • Output
    • LOT
    • Work conditions
    • Vision inspection
    • Quality inspection

  • Equipment status

    3

    • Status
    • Alarms
    • Failure history

  • Logistics

    3

    • AGV
    • AMR
    • Logistics data

  • Environment & energy

    3

    • Environment
    • Energy
    • Carbon

SOLUTION

Eight core solutionsfor autonomous manufacturing

Production, quality, maintenance, energy, logistics, vision, digital twin and AI agent — eight axes that compose autonomous manufacturing.

  • 01

    AI Production Optimization

    AI optimizes production plans, process sequence, equipment layout and work conditions to raise productivity and on-time delivery.

  • 02

    AI Quality

    Learning from process conditions and quality data, it predicts defect risk in advance and recommends the optimal conditions.

  • 03

    Predictive Maintenance

    It analyzes equipment data such as current, vibration, temperature and pressure to detect early fault signs and failure risk.

  • 04

    AI Energy Optimization

    Combining production plans with FEMS data, it optimizes peak power, per-equipment consumption and per-product energy intensity.

  • 05

    Vision AI

    Image-based AI recognizes product inspection, assembly state, worker safety and process status.

  • 06

    Autonomous Logistics

    Linked to the MES production plan, it optimizes AMR and AGV work orders and travel routes.

  • 07

    Digital Twin

    Connecting the real and virtual factory, it simulates the outcome of production plan and process changes before they are executed.

  • 08

    Manufacturing AI Agent

    Query production, quality, equipment and energy data in natural language; AI analyzes the cause and proposes what to do.

ITSCO PHYSICS AI

Physics AI cannot be builtfrom AI models alone

It takes integrated manufacturing OT and IT capability — understanding the equipment data and the production process on the floor, and carrying the AI's decision all the way through to equipment behavior.

OTFloor and equipment data

ITAI and digital systems

ITSCOPhysics AI

ITSCO integrates

MES · FEMS · IoT/Edge · Manufacturing AI · AAS · ESG · ECOLINE to support a stepwise Physics AI transition that starts from the smart factory maturity a company already has.

Rather than replacing the existing MES and equipment wholesale, it builds on the systems already in place and expands step by step.

  1. 01Data connection
  2. 02AI adoption
  3. 03Automation
  4. 04Autonomy

PROCESS

From the factory you have today to autonomous operation, in four steps

We do not automate the whole factory at once. Data is connected first, and only decisions that have been verified are extended into action on the floor.

  1. Assessment

    • Survey of processes, equipment and robots
    • Data collection and OT connectivity check
    • Target processes and priorities selected

  2. Data foundation

    • Sensor, PLC and robot data connected
    • AI-MES and data platform integrated
    • Digital twin model built

  3. AI decision and action validation

    • AI models applied to a pilot line
    • Control logic verified in simulation
    • Approval-based semi-automatic execution

  4. Autonomous operation rollout

    • Pilot line results measured
    • Rollout to more processes and lines
    • Model retraining and operational refinement

START WITH YOUR FACTORY

Start with your factory's own challenges

Check where you stand with the AX readiness check first, then carry on to a consultation.

Request a consultation