Physical AI Industrial Automation Digital Twin Engine Autonomous Operations Local Compute RaaS + SaaS Models Purpose-Built AI Models Live at EIS Nevada Physical AI Industrial Automation Digital Twin Engine Autonomous Operations Local Compute RaaS + SaaS Models Purpose-Built AI Models Live at EIS Nevada
Industrial Automation & Metrics — Physical AI

Physical AI for
Industrial
Automation

I.A.M. Global embeds intelligence directly into industrial robotics — creating systems that perceive, decide, and act autonomously. The future of manufacturing isn't programmed. It's learned.

$75–80B
Global Market 2023
5–6%
Annual CAGR
30–40%
of Line Downtime
from Palletizers
6–11×
Typical ROI
01 — The Problem

Industry Is Stuck
in the Past

Industrial automation has advanced in hardware — but the intelligence layer has been left behind. The result is brittle, expert-dependent, costly systems that can't adapt.

01

Static Programming

Industrial robots follow rigid scripts. Any change in environment, product, or task requires scarce specialists and lengthy re-commissioning cycles — killing agility.

02

Integration Friction

Siloed hardware, proprietary protocols, and disconnected sensor data prevent systems from sharing intelligence — leaving vast optimization potential untouched.

03

Human Dependency

An aging workforce and a thinning pipeline of skilled technicians and process engineers creates structural vulnerability across every industrial operation.

04

Reactive Operations

Failures are discovered when lines stop. Without predictive intelligence, manufacturers absorb preventable costs — thousands of dollars lost every hour a system is down.

02 — Market Opportunity

A Massive
Market Shift

$110–120B

Industrial automation market projected by 2030 — growing at 5–6% CAGR

2023 Baseline$75–80B
2030 Projection$110–120B
  • Physical AI moving from research to production deployments
  • US onshoring and re-industrialization driving capex
  • E-commerce expansion demanding faster, smarter fulfillment
  • Most industrial workflows still entirely non-autonomous
Target Industries
Food & Beverage Consumer Packaged Goods Pharmaceuticals Industrial Mfg E-Commerce Fulfillment Building Materials Agriculture Products
03 — Our Solution

Physical AI
Intelligence Layer

I.A.M. Global builds the intelligence layer that sits between industrial hardware and business outcomes — making robotic systems self-aware, self-healing, and genuinely autonomous. Not programmed. Learned.

01

Digital Twin Engine

A living 3D simulation of your physical environment — validating decisions across millions of iterations before they touch the real world. Real-time views of historical, live, and predicted machine behavior.

02

AI Predictive Intelligence

Continuous ingestion of sensor, PLC, and robot telemetry feeds a purpose-built model that predicts failures, scores system health, and autonomously prioritizes corrective action — before downtime occurs.

03

Autonomous Configuration

No-code deployment interface with guided task setup and collision-free path generation. Physical AI that operators can direct — without robotics engineers on call.

04 — Business Impact

Intelligence
Delivers Results

Physical AI doesn't just automate tasks — it transforms how industrial operations learn, adapt, and scale.

Autonomous Maintenance

AI-driven diagnostics detect anomalies and prescribe interventions before failure — shifting operations from reactive repair to proactive resilience.

Zero Unplanned Downtime

Continuous system intelligence catches degradation patterns invisible to human operators — resolving conditions before they cascade into line stoppages.

🚀

Rapid Deployment

Digital twins and virtual training slash commissioning time. New tasks, new environments, new hardware — deployed in hours, not weeks.

Factory Acceptance Testing (FAT) — EIS Las Vegas: I.A.M. Global's Physical AI platform is live in controlled in-house testing — validating autonomous performance ahead of full deployment. Watch it run below.

05 — Live in Production

See Physical AI
in Action

I.A.M. Global's Physical AI platform is live in Factory Acceptance Testing — validating autonomous robotic performance in real industrial conditions ahead of full customer deployment.

FAT — Mixed Operations
AI-Driven Mixed Palletizer — FAT Run
Factory Acceptance Testing of the I.A.M. Global mixed-SKU system — autonomously adapting placement logic across varying box sizes and orientations without operator intervention or re-programming.
Mixed Palletizer — Factory Acceptance Test
FAT — EIS Las Vegas
Palletizer & DePalletizer — FAT at EIS Las Vegas
Full palletize and depalletize cycle under Factory Acceptance Testing at EIS Las Vegas — validating autonomous load building and breakdown across the complete end-of-line workflow before customer deployment.
EIS Las Vegas — Factory Acceptance Test
06 — Deployment Models

Exceptional ROI
Across Both Models

Choose the deployment model that fits your operation — from AI overlay on existing assets to full turnkey robotics as a service.

SaaS Model

For Existing Robot Owners

Layer AI-driven monitoring and predictive maintenance onto your current robotic assets — no hardware swap required.

Annual Investment $150K – $250K
ROI 6–11× return
Payback Period Under 6 months
07 — Differentiation

Why I.A.M. Global
Stands Apart

Purpose-Built Physical AI

Not a general-purpose LLM bolted onto a robot. Lightweight domain models trained specifically on industrial motion, fault patterns, and task behavior — faster, leaner, more precise.

Full Stack Integration

Intelligence embedded directly into hardware, software, and system control from first principles — not layered on as an afterthought. The whole stack is aware.

Operator-First UX

Intuitive interfaces for real-time operation, configuration, and autonomous maintenance management. Designed for the plant floor — not the data science lab.

Local & Sovereign Compute

On-premise AI processing ensures data security, reduces cloud dependency, and maintains operational continuity regardless of network conditions.

Flexible Deployment

Adapts to single-task precision or complex multi-SKU mixed workflows. The same intelligence layer works across varied industrial environments without re-engineering.

Built for the Edge

Architected for real-time industrial environments — low-latency inference, offline capability, and deterministic responses where milliseconds matter.

08 — Technology

Our Technology
Platform

01

Digital Twin Engine

3D real-time views of historical, live, and predicted robot actions. Create new pallet stacks, replay past runs, and support on-site training with full fidelity simulation.

02

Applications Suite

Real-time health dashboards and a no-code UX/UI that empowers operators to configure, monitor, and maintain systems without specialist support.

03

Communication Layer

Unified vision, sensing, and actuation working together as a synchronized intelligent system — seamless data flow from sensor to decision to action.

Defensible IP

Proprietary models for robot-specific training and fault prediction
Domain-specific knowledge graphs mapping faults to remedies
Pre-trained templates for common palletization tasks
Local data storage with offline AI training capability
09 — Roadmap

Roadmap
to Scale

1
0–12 Months
Foundation
  • Finalize palletization MVP with UX/UI
  • Deploy with initial client through beta-testing integrator
  • Deliver deployments — 10 Licenses through EIS
2
12–18 Months
Growth
  • Enhance product capabilities
  • Convert first deployment to long-term contract
  • Establish new partnerships
3
18+ Months
Scale
  • Engage with Fanuc, ABB, Siemens
  • Standardize onboarding playbooks
  • Grow RaaS offerings and marketplace
10 — Team

Experienced Team.
Ready to Execute.

MC
15+
Matthew Cornelius
Founder
15+ years in robotics and AI motion systems. Deep domain expertise in industrial automation.
JO
20+
Josh O'Connell
Head of Product Design
20+ years in product design and engineering. Translates complex systems into intuitive interfaces.
RS
25+
Roger Sader
Tech & Innovation
25+ years in IT system engineering and growth. Architects scalable infrastructure and strategy.
DT
Dalton Twining
Sr. Robotic Technician
Expert in robot assembly and maintenance. Hands-on technical authority for deployment quality.
11 — Let's Talk

Bring Physical AI
to Your Facility

I.A.M. Global's Physical AI platform combines proven domain expertise, defensible models, and real-world deployments — delivering autonomous industrial operations that actually work on the floor.