Physics AI

Physics AI

Autonomous manufacturing where AI decides and machines act

OVERVIEW

AI that moves the factory's physical world

It does not stop at analysis — the decision carries through to what equipment and robots do.

BEFORE

A factory that collects data

It collected and analysed production data and delivered the information to the operator.

Hands checking a production dashboard on a tablet in front of warehouse racking

NOW

A factory that decides and acts

It senses production, quality, equipment, energy and logistics data in real time, has AI make the optimal decision, and then executes it through physical systems such as equipment, robots and AMRs.

An automated factory of robot arms and conveyors seen from above

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 behaviour.

OTFloor and equipment data

ITAI and digital systems

ITSCOPhysics AI

ITSCO integrates

  • MES
  • FEMS
  • IoT/Edge
  • Manufacturing AI
  • Digital Twin
  • AAS
  • Robot Automation

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. Data connection
  2. AI adoption
  3. Automation
  4. Autonomy

ARCHITECTURE

How data becomes a decision, then action

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

    • PLC
    • CNC
    • Robot
    • Sensor

  • Measurements

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

  • Production & quality

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

  • Equipment status

    • Status
    • Alarms
    • Failure history

  • Logistics

    • AGV
    • AMR
    • Logistics data

  • Environment & energy

    • Environment
    • Energy
    • Carbon

ITSCO AI-MES

Not many AI models — one factory brain

Separate AI per area means each optimum fights the others. The decision, from order to shipment, is made in one place: AI-MES.

  • Order
  • Plan
  • Materials
  • Production
  • Quality
  • Equipment
  • Energy
  • Logistics
  • Shipment

AI-MESFactory Brain

AI analyses each domain's data as a whole and reconciles goals that conflict with one another. Instead of maximising output alone, it weighs

  • Due date
  • Quality
  • Equipment condition
  • Energy
  • Inventory
  • Workforce
  • Carbon emissions

at the same time, and supports the optimal production decision.

SOLUTION

Eight core solutionsthat make up Physics AI

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

  • 01

    AI Production Optimization

    AI optimises 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 analyses 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 optimises peak power, per-equipment consumption and per-product energy intensity.

  • 05

    Vision AI

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

  • 06

    Autonomous Logistics

    Linked to the MES production plan, it optimises 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 analyses the cause and proposes what to do.

VISION

Manufacturing Intelligenceto Physical Action

This is not simply factory automation

The Physics AI ITSCO is building is an autonomous manufacturing environment where people, AI, equipment and robots are connected as one system.

  1. DIGITAL

    Floor data is digitised in real time.

  2. AI

    AI reads and predicts the situation from that data.

  3. PHYSICAL

    The decision becomes equipment and robot behaviour.

  4. AUTONOMOUS

    The result is learned, and the factory optimises itself.

AI understands manufacturing and moves the real world.

Connect the AI that decides to the equipment that acts.

We assess where your automation stands, then define the steps — and the first process — on the way to autonomous manufacturing.

Talk to us