01
Physical Intelligence
AI systems that can understand engineered objects, spatial relationships, assemblies, and the physical world.
FOUNDER · ENGINEERING · APPLIED AI
Jeffery Christopher Wheat.
Founder of Stratic Systems, engineering technology builder, and applied AI researcher working across deterministic geometry, CAD intelligence, AI systems, and the emerging field of physical intelligence.
Engineering
Real systems and constraints
Intelligence
Evidence-aware reasoning
Advancement
From understanding to action
FOUNDER · ENGINEERING · AI
STRATIC SYSTEMS FOUNDER
Jeffery C. Wheat
Engineering
design + systems
AI Systems
reasoning + tools
Geometry
measured intelligence
Physical Intelligence
understanding + action
CADENGINEERING
AISYSTEMS
PHYSICALINTELLIGENCE
ENGINEERING AS THE FOUNDATION
Building AI from the physical world up.
Jeffery Christopher Wheat is the founder of Stratic Systems and an engineering technology builder based in North Georgia. His work combines engineering design, CAD systems, geometry, software architecture, and modern artificial intelligence to build tools that can reason about engineered and physical systems.
His approach to AI begins with engineering problems rather than language alone: understanding real assemblies, extracting structure from CAD, building deterministic geometry systems, connecting AI models to technical tools, and preserving the evidence behind an engineering conclusion.
THE QUESTION
What must an AI system understand before it can reliably reason about the physical world?
Stratic Systems grew from that question: how to give AI access to measurable engineering truth before asking it to explain, plan, inspect, or act.
PHYSICAL INTELLIGENCE
Language was only the beginning.
A beam is more than the word beam. It has geometry, orientation, features, connections, relationships, manufacturing context, and a physical position relative to everything around it. Physical intelligence requires systems that can reason from those measurable facts.
02
Deterministic Geometry
Traceable geometric analysis built from measurable engineering evidence rather than hidden statistical guesses.
03
Engineering AI
Combining geometric facts, technical knowledge, and modern reasoning models for engineering work.
04
Industrial Autonomy
Building toward systems that can observe, understand, explain, inspect, guide, and eventually coordinate physical action.
ENGINEERING + AI CAPABILITY
Building at the intersection of engineering and AI.
Wheat's technical work spans engineering design, CAD systems, deterministic geometry, engineering automation, AI orchestration, and physical-world reasoning. Through Stratic Systems, he is developing software that connects measurable engineering evidence with language models, vision systems, and AI tools while keeping the underlying facts traceable.
1Engineering design
2CAD systems
3Deterministic geometry
4Engineering automation
5AI systems architecture
6Model orchestration
7Vision + physical AI
8Technical software R&D
KNOWLEDGE PRESERVATION
Get the knowledge before it's gone.
Engineering organizations contain knowledge that never reaches a database. It exists in experienced people, CAD models, drawings, historical decisions, manufacturing practices, and the relationships between them.
A major part of Wheat's work is exploring how engineering software and AI can preserve more of that knowledge in structured, reusable, and traceable forms before organizations are forced to rediscover it.
KNOWLEDGE EXISTS IN
Experienced people
CAD geometry
Engineering drawings
Design decisions
Manufacturing practice
Technical relationships
RESEARCH DIRECTION
From engineering evidence to physical action.
The long-term direction connects observation, deterministic understanding, AI reasoning, and guided action into one traceable physical intelligence stack.
01
Observe
CAD · cameras · engineering data
02
Understand
geometry · features · relationships
03
Reason
evidence · constraints · goals
04
Act
explain · guide · inspect · coordinate
FOUNDER + TECHNICAL WORK
Engineering depth. AI systems. A company built around both.
Stratic Systems brings together Wheat's engineering background and applied AI development into a focused research and software company for engineered and physical systems.
FOUNDER · STRATIC SYSTEMS
Building engineering intelligence infrastructure.
Founder and principal builder behind Stratic Systems' research into deterministic geometry, engineering reasoning, knowledge preservation, CAD intelligence, and physical intelligence.
APPLIED AI SYSTEMS
Models connected to tools, evidence, and the physical world.
Work includes AI systems architecture, model orchestration, tool-using reasoning, vision integration, evidence-aware workflows, and local or connected AI systems designed around technical engineering data.
ENGINEERING TECHNOLOGY
CAD, geometry, automation, and technical software.
Engineering capability spans mechanical design, complex CAD structures, geometry analysis, engineering automation, technical data modeling, and software systems that turn engineering information into reusable knowledge.
ENGINEERING EDUCATION
Georgia Northwestern Technical College
Drafting and engineering advisory board participation focused on connecting technical education, engineering practice, and emerging technology.
WHY THIS WORK
AI should understand more than our words.
The next generation of intelligent systems will interact with machines, buildings, manufactured components, robots, infrastructure, and people working in physical environments. They will need to understand what exists, where it exists, how it relates, what changed, and what the available evidence actually supports.
That is the problem Jeffery Christopher Wheat and Stratic Systems are working to solve.