// SYSTEM OVERVIEW
DOUBLE O // PLATFORM THESISRebuilding the Defense
Manufacturing Workflow.
The defense industrial base is surrounded by valuable technical data, manufacturing capacity, and procurement demand — but the workflow connecting them remains fragmented, manual, and slow.
01 // THE PROBLEM
Legacy Technical Data
Critical parts are trapped inside legacy technical workflows.
Across the defense supply chain, critical components are still represented by 2D drawings, scanned technical documents, legacy specifications, and fragmented engineering information.
Turning that information into something a manufacturer can actually build often requires specialized engineering labor, manual CAD reconstruction, manufacturability review, supplier discovery, and repeated communication between disconnected parties.
INPUT
Legacy 2D drawings
FRICTION
Manual engineering
RESULT
Slow manufacturing cycles
02 // THE OPPORTUNITY
Agentic Engineering
What if technical data couldbuild itself?
Advances in AI make it possible to move beyond document processing and into engineering workflows — allowing specialized agents to interpret technical information, reconstruct geometry, reason about manufacturing constraints, and prepare production-ready assets.
TRADITIONAL WORKFLOW
AGENTIC WORKFLOW
03 // THE PLATFORM
Engineering Intelligence
A network of specialized agents fordefense engineering.
Instead of treating AI as a single general-purpose assistant, Double O is designed around specialized agents that execute individual stages of the engineering and manufacturing workflow.
Technical Data Parser
Extracts geometry, dimensions, materials, finishes, and engineering requirements from technical documentation.
CAD Generation
Converts structured engineering information into production-ready 3D CAD geometry.
DfM Intelligence
Evaluates manufacturability, production constraints, process requirements, and potential engineering issues.
Manufacturing Routing
Routes validated production requirements toward qualified manufacturing capacity.
04 // THE NETWORK
Engineering is only half the problem.
Generating a CAD model is not the end of the workflow. The ultimate objective is to move validated engineering data into physical production through a network of qualified manufacturing partners.
STEP 01
Validate
Engineering & DfM
STEP 02
Match
Qualified capacity
STEP 03
Manufacture
Physical production
05 // THE MOAT
Compounding Infrastructure
Every workflow makes the platform smarter.
Over time, every processed drawing, engineering decision, manufacturability constraint, supplier capability, and production outcome can contribute to a proprietary layer of defense manufacturing intelligence.
06 // THE VISION
Defense Manufacturing Infrastructure
Build the infrastructure layerbetween defense demand and manufacturing capacity.
Our long-term vision is to make the path from a defense requirement to a manufactured component dramatically faster, more intelligent, and more scalable.
Start with technical data. Automate engineering. Validate manufacturability. Connect production. Build the intelligence layer that compounds across the defense industrial base.
// PLATFORM DIRECTIVE
Accelerate the path fromtechnical datatomission-ready manufacturing.