The Execution Layer
Between Concept
and Scale
DDNA unifies execution in one platform with one compliant program state. Generates the Reproducibility Packet. Purpose-built for the defense industrial base.
What Breaks on Real Defense Programs
Engineer updates tolerance
CAD updated locally only
Supplier never sees it
Production builds old rev
QA rejects parts
PM runs 4 meetings
Program slips 3 weeks
Change doesn't propagate
Updates stall at system boundaries and never reach every stakeholder.
Local truths diverge
Each team believes a different version of the program is correct.
Compliance fails
Evidence and execution drift apart, creating audit and delivery risk.
The bottleneck is not tools. It's cross-team coherence.
The Fix: DDNA Orchestration Layer
Each element is a chromosome on your product's DNA.
CHANGE
Every change traced, propagated, and verified deterministically by DDNA agents.
No Silent Divergence
Agents orchestrate routing and updates across every team and workflow. Every change propagates deterministically.
No Manual Reconstruction
Policy gates make outcomes deterministic and auditable. The Reproducibility Packet accumulates evidence every cycle.
Compliance Remains Continuous
One unified platform keeps execution and evidence synchronized from plan through release.
Infinite Repeatability
Your product's DNA is captured to ensure you do not lose key elements across assembly and future builds.
The mission intent, performance targets, constraints, and acceptance criteria that define what the product must do.
System, subsystem, and component requirements with traceability, allocation, and verification links.
Critical-to-quality characteristics, tolerances, material requirements, and production acceptance criteria.
Mission outcomes, performance commitments, delivery milestones, and acceptance criteria tied to contract obligations.
Clear traceability from contract language to verifiable requirements, with ownership, baseline dates, and change history.
Program scope, delivery commitments, and risk posture tied to revenue confidence, margin protection, and investor narrative.
Speed and compliance are byproducts of deterministic change
How DDNA Works
Intent-to-Requirements
AI-powered pipeline that captures customer intent from solicitations, RFIs, RFPs, meetings, documents, and communication channels — then generates structured, traceable requirements.
Ingests from SAM.gov, DIBBS, Slack, Teams, email, and documents
AI generates draft requirements with source citations and confidence scores
Human review and approval before baseline — AI proposes, humans decide
Immutable frozen baselines with controlled change request process
Living Program State Across the Lifecycle
Capture customer intent
AI generates structured requirements with source citations
Hierarchical decomposition: mission → system → subsystem → component
Requirements frozen into immutable baselines after human approval
DDNA is the single operating platform for requirements, execution, quality, and compliance across the lifecycle.
Why Now — Market Position
Disconnected tools
Email, spreadsheets, portals, and siloed teams — no single program state and no deterministic change propagation. Most defense programs operate this way.
Built internally
SpaceX, Anduril, Apple-scale companies invested hundreds of millions in proprietary execution layers. Not accessible to broader defense industry.
Productized for everyone
The same deterministic change management and execution orchestration, available as a platform for any defense program at any scale.
We give distributed defense programs the same execution layer the winners built in-house.
Founding Team
Michael Meyer
CEO
Technical founder, former U.S. Air Force leader
Executed $8.5B in logistics & sustainment
14 years DoD operations & acquisition systems
Callye Keen
Co-Founder · CEO of Kform
Manufacturing entrepreneur & product dev expert
Hundreds of products from prototype to scale
Scalable manufacturing systems specialist
Andre Wegner
Co-Founder · CEO of Authentise
Digital thread & data-driven automation leader
Engineering-to-factory execution systems
Former Chair, Digital Mfg at Singularity University