Defense Operations & Engineering Solutions (DOES)

The foundation of national defense is no longer built solely on armaments, but on the strength and ingenuity of the nation that creates them. It includes the capability to design, manufacture, and sustain critical technologies and essential goods domestically. From advanced microelectronics to Active Pharmaceutical Ingredients (APIs) and essential medicines (EM), national security depends on resilient, onshore production, skilled workforce pipelines, and disciplined program execution. To meet this demand, America needs organizations that combine technical rigor with strategic foresight, delivering both capability and opportunity where it matters most.

Defense Operations & Engineering Solutions (DOES) answers those needs and is rewriting the defense manufacturing playbook. Its model fuses digital engineering, Industry 4.0 systems, and Artificial Intelligence (AI) and Machine Learning (ML) analytics to deliver measurable outcomes such as shorter lead times, higher yields, lower costs, and reduced schedule risk. Through this same framework, DOES is revitalizing the industrial base by developing sustainable design and manufacturing capacity in vulnerable communities and HUBZones, aligning national resilience with local empowerment.

“We’re building credibility that compounds,” says Aaron Sneed, founder. “Our goal is to strengthen America’s defense industrial base while investing in the people and places that make it resilient.”

Accelerating National Capability through Technology and Workforce Development

DOES is making an impact across critical sectors that are vital to national security. In microelectronics and semiconductors, the company strengthens domestic production and sustainment, applying Model-Based Systems Engineering (MBSE), agent-based modeling, and high-fidelity simulation to derisk complex new developments, redesigns, and maintenance, repair, and overhaul (MRO) pathways. Its work ensures faster, smarter, and more resilient defense electronics, while simultaneously creating workforce training opportunities in communities that need them the most.

In the domain of APIs and Essential Medicines, DOES treats pharmaceutical production as a defense priority. By integrating Industry 4.0 systems with AI/ML quality analytics, the company enables faster batch releases, lower unit costs, and scalable compliance. This work strengthens domestic supply chains and creates skilled jobs in HUBZones, aligning national readiness with community development. A clear example of this approach is a domestic API/EM initiative where DOES combined structured tech transfer with advanced analytics to accelerate production and strengthen local manufacturing. A HUBZone pilot closed capability and workforce gaps by implementing an Industry 4.0 process layer and quality analytics stack that shortened batch-release cycles and reduced unit costs. Structured training and operator development created career pathways and improved retention among local hires, while early production runs achieved higher yields, lower costs, and reduced rework. The site advanced from pilot to predictable producer, demonstrating how early credibility compounds into sustained, measurable impact.

Legacy aerospace and defense programs also benefit from DOES’s disciplined execution model. Partnering with primes and agile innovators, the company injects simulation-driven planning, advanced materials expertise, and AI-supported quality control into complex programs, ensuring capability ships on time, on budget, and at scale.

Digital Rigor, Execution Discipline

At the core of DOES’s success is its disciplined use of digital tools. Using modern CPUs/GPUs/XPUs, the team can test millions of billions of scenarios virtually, ensuring predictability and repeatability without expensive physical prototypes. Its workflows are ITAR/EAR-aware, CMM-Caligned, and integrate seamlessly with a prime’s ERP or QMS. This export-safe, compliance-by-design approach ensures security, predictability, and transparency from start to finish.

The process reinforces credibility through repetition and iteration. Every engagement begins in a virtual environment, where simulation and modeling prove concepts before a single part is made. AI and statistical analytics transform inspection and process control into data-driven exercises. Desktop-scale HPC accelerates what once required entire server rooms, compressing learning cycles and refining accuracy. Once digital proof is established, the process transitions smoothly to manufacturing readiness. Standard operating procedures, gated reviews, and targeted workforce training mirror the rigor of scaled production. Sustainment strategies and second-source planning then protect availability and counter obsolescence to ensure that reliability extends well beyond initial delivery.

Credibility that compounds defines every result. Faster delivery, resilient supply, and measurable trust emerge from disciplined execution and technical rigor. Each outcome confirms a fundamental truth that guides the mission and its future: when the mission demands proof, DOES does it.