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 →Something in front of an operator inside the first period of performance. A dashboard nobody opens is a deliverable, not a result.
The two-year replacement program asks users to keep running the old system on faith and then lands something that does not match how the work evolved in the interim. It is still the default shape of federal modernization.
The alternative is narrower and less satisfying to plan: the smallest capability that genuinely runs, in front of a real operator, inside the first period of performance, with the legacy system still available beside it.
That constraint forces useful decisions. It surfaces integration problems while they are cheap, exposes definitional disagreements early, and gives the program something demonstrable before the first funding conversation.
From there you widen on evidence. Each increment either earns its place in the workflow or gets cut, and usage is instrumented from the first release, because a falling curve is a design defect rather than a training problem.
None of this is novel. What makes it rare in federal work is that it requires the customer and the contractor to agree that a small working thing beats a large planned one.
If this describes a problem your program is carrying, the conversation starts with the question two systems answer differently.
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