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PHYSICAL AI SOLUTION

that senses, thinks, and moves Sites.

From concept • implementation • operational improvement, while leveraging existing facilities. We connect hardware, software, and AI in one team to deliver Physical AI to Sites.

What is Physical AI?

AI that existed in words and screensis now entering a stage where it senses the physical worldand moves things at Sites.

Sense

Turn what's happening at Sites into data from sensors, cameras, and existing instruments.

Judge

AI at the edge or in the cloud judges anomalies, waste, and the next action to take.

Move

Transport, manufacturing equipment, HVAC, lighting, etc. Return judgment results to physical world actions.

The connection of these three elements is Physical AI. This makes Sites stronger • faster, enabling people working there to demonstrate their true potential.

The Physical AI Spectrum

The definition of Physical AIranges from automated control of existing equipment to humanoids,spanning a wide spectrum.

The left side is easier to commercialize, and most Sites start with " making currently operating equipment smarter ".

Automated control of existing equipment

Production equipment, HVAC, lighting.
Add measurement and control retroactively to currently operating systems.

● ● ●
Implementation is progressing

Visual inspection • monitoring

Cameras and edge AI judge scratches • foreign objects • anomalies in place of humans.

● ● ●
Implementation is progressing

Transport • sorting

AGVs • AMRs and sorting equipment move autonomously within premises.

● ● ●
Adoption is expanding

Automation of construction machinery • vehicles

From remote operation to autonomous driving of construction machinery and on-site vehicles.

● ● ●
Sites demonstration stage

Humanoids

General-purpose bodies that take over human tasks as-is.

● ● ●
Research • demonstration stage

Make currently operating equipment smarter

Introduce equipment that can mimic human movements

Humanoids are just one symbol. At most Sites, it starts with making currently operating equipment smarter.

Grand Design for the Field

What to measure, what to automate, and what people should focus on.

The design that determines a company's future—we support all the way through drawing, implementing, establishing, and deployingit.

01

Draw

Design the future of Sites

What to measure, where to start, in what order to invest. We draw from current state analysis to prioritization of measures.

Physical AI Design

02

Implement

Deploy equipment, data infrastructure, and AI

Equipment selection • design, data infrastructure construction, AI implementation. Integrated under one responsibility without fragmentation.

Physical AI Engineering

03-1

Establish

Integrate into Sites operations

We iterate adjustments based on operational data and support until it fits into human procedures.

Physical AI Growth

03-2

Deploy

To other sites • horizontal deployment • commercialization

What proved effective at one Sites is expanded to other equipment and sites, and repackaged as a product as needed.

Physical AI Growth

Scope of Work

Through three phases—Design • Engineering • Growth—we handle everything consistentlyfrom concept to establishment.

Ordering strategy, equipment, communications, data, AI, and operations separately increases handoffs of requirements and responsibilities. Haudi connects the three phases with one design philosophy.

01 / DESIGN
Physical AI Design

Research • diagnosis
  • Current state research • Sites diagnosis
  • Inventory of existing equipment • systems • business processes
Grand design
  • Implementation blueprint (sensor placement • communication methods • data points)
  • Design of what to measure and what to judge
  • Overall system architecture
  • Security policy
Decision materials
  • Roadmap development for implementation
  • Cost and benefit estimates and payback period creation
  • PoC design and execution

02 / ENGINEERING
Physical AI Engineering

Requirements • system design
  • Requirements definition
  • Equipment selection (off-the-shelf or in-house)
  • Circuit • board • enclosure design
  • Network design
Equipment • Sites
  • Sensor • device manufacturing or procurement
  • Signal acquisition from existing instruments
  • Communication infrastructure setup (LTE • LoRa • private network)
Data • AI • control
  • Legacy system renewal
  • Data migration (paper • Excel • legacy DB)
  • Data infrastructure, management dashboard, and app development construction
  • Existing system integration
AI • control
  • Training data preparation
  • AI model implementation
  • Equipment control and automated control logic

■ Areas other companies tend to avoid

03 / GROWTH
Physical AI Growth

Operations • improvement
  • Monitoring and maintenance operations
  • Continuous tuning based on operational data
  • AI Model Retraining and Accuracy Improvement
  • Performance Measurement and Reporting
  • Additional Sensors • Additional Features
  • Manual Creation
  • Training for Sites
Deployment
  • Deployment to Other Equipment
  • Deployment to Other Sites
  • Horizontal Deployment to Group Companies
Commercialization
  • Product Commercialization
  • Support for Customers' New Business Development
  • External Sales • OEM

■ Areas Other Companies Tend to Avoid

If any one of these is missing, you won't reach the point of running AI at Sites.

Physical AI Design

What to measure and where to start.Accompanying from the design of the business model itself.

Design Process

STEP 1
Current State Analysis

Inventory of equipment • systems • operations. Identify where data is lacking and where human resources are being depleted.

STEP 2
Sites Diagnosis

Actually enter Sites to check instruments • wiring • communication environment • personnel flow.

STEP 3
Grand Design

Develop a multi-year plan for what to implement and in what order.

STEP 4
ROI Estimation

Assign costs and payback periods for each measure to inform investment decisions.

STEP 5
PoC Design and Implementation

Validate on a small scale, focusing on areas of high uncertainty.

Expected Outcomes

AI Implementation Roadmap
Multi-year implementation plan and priorities

Investment Effect Estimation
Cost • Savings • Payback Period

Sites Diagnosis Report
Equipment • Communication • Operational Constraints

PoC Results and Decision Criteria
Rationale for Proceeding/Stopping and Next Steps

Physical AI Engineering

As the brainof Sites,we integrate processes including equipment selection, design, and data infrastructure construction.

From equipment selection, communication, data infrastructure, AI, to control. We eliminate fragmentation of vendors by process and implement speedily and flexibly.

Conventional Sites

Vendors change with each process, requiring handoffs of requirements and responsibilities each time. Schedule delays and requirement gaps/drift are likely to occur.

Requirements Definition
Consulting

Equipment Selection
Trading Company • Manufacturer

Communication
Electrical Contractor

Data Infrastructure
Development Company

AI Implementation
AI Vendor

Equipment Control
Equipment Contractor

Sites Built with Haudi

A single team maintains requirements and overall design, enabling speedy and flexible progress

Haudi— ONE BRAIN / ONE TEAM

Requirements Definition

Equipment Selection • Design

Communication Infrastructure

Data Infrastructure

AI Model

Equipment Control • Handover

Physical AI Growth

We don't stop after implementation.
We make repeated adjustments with operational data,until it fits naturally in people's hands,cycling through the process.

Operate

Notice

Adapt

Fix

01

Monitoring and Maintenance Operations
We monitor to prevent downtime and enter Sites if anomalies occur.

02

Continuous Tuning
We fine-tune thresholds and settings with actual operational data.

03

Performance Measurement and Reporting
We quantify and report what worked and to what extent.

Maturity Model

We assess the current state of Sites across five layers,and determine which service to apply to which layer.

We combine appropriate support for the situation, focusing on L2-L3 where many Sites tend to stall.

Sites State: What to measure is not determined

Haudi Value Proposition: Walk through Sites and define together what measurements would change decisions

Recommended Support: Design

Platform & Packages

Don't Build Recurring Sites Challenges From Scratch Every Time.

Based on Common Platform Familia and Application-Specific Packages, Design Only Sites -Specific Parts. Shorten Development • Deployment Time and Leverage Implementation for Future Projects.

Customer-Specific Development

Screens • Reports, Sites -Specific Adjustments, Custom External Integration

Familia ENAERGY

Facility Energy Management via Retrofit Devices

Familia VISION

Visual Inspection • Security via Edge AI Video Analysis

RxT

High-Volume Data Transfer for Offline Research Equipment

Platform

Familia

  • Collection: LoRa • LTE • Modbus • BACnet
  • Storage • Normalization
  • Device Management
  • Authentication • Authorization
  • API • Generative AI Integration

Sites Equipment

Power Sensors

Environmental Sensors

Network Cameras

PLC • Instruments

HVAC • Lighting

Research Equipment