Data engineering & integration · Data quality & reconciliation
02 AI & Machine LearningApplied machine learning · Generative AI
03 Software & Product EngineeringCustom application development · Legacy modernization
04 Cloud & CybersecurityCloud migration & modernization · Cloud operations & support
05 Acquisition & Financial ManagementAnalysis of Alternatives · Market research & COTS/NDI evaluation
06 Program & Project ManagementProgram management & PMO support · Process improvement
Reconcile the record · instrument the definitions · ship the smallest thing that runs · close the loop.
Readiness, sustainment, acquisition and program financial systems.
IntelligenceSecure analytics, transcription and technical talent for missions.
Federal CivilianEnterprise cloud, case workflows and public financial accountability.
State, Local & TribalFederal-grade accountability on a state or municipal budget.
HealthReliability, forecasting and workforce analytics for clinical operations.
Commercial & Small BusinessFor organizations that must defend an AI-assisted decision.
Where a customer can't be named, the component and scale are characterized instead.
ALL WORKGAO, CBO and IG findings, read closely and written up plainly.
ALL INSIGHTSEngineering, data science, and Ghost Works.
OPEN ROLES INTERNSHIPSHands-on projects and practical challenges, including our Drone Development internship.
EXPLORE INTERNSHIPS →DECKPLATE, AMSRR, NALCOMIS, OOMA, DRRS-MC, JDRS: what each is actually for, and why a simple question crosses all of them.
Ask a naval aviation program how many aircraft are mission capable this morning and you have asked a question that crosses roughly nineteen systems, depending on how you count. None of them is wrong. Each was built for a real purpose by people solving a real problem.
Maintenance actions live in one place, flight hours in another, supply status in a third, personnel qualification in a fourth. Readiness is a derived figure that depends on all of them, which means it inherits every latency, definition and outage in the chain.
The failure mode is not that the number is unavailable. It is that several numbers are available, all defensible, and the one that reaches a decision maker depends on who assembled the brief. That is a governance gap, not a technology gap.
We map the chain first: which system is authoritative for which field, on what refresh cadence, with what known gaps. It is a document, not a dashboard, and it is usually the single most valuable artifact we produce in the first period of performance.
Only after that does instrumentation make sense. Build the pipeline first and you have automated the disagreement at higher speed and greater confidence, which is worse than the manual process it replaced.
If this describes a problem your program is carrying, the conversation starts with the question two systems answer differently.
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