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 →We do not staff every domain. On a naval aviation problem you get people who have read the GAO reports, not people who will.
There is a scaling model in government services that rewards breadth: staff every domain thinly, win widely, and build depth on the customer's time. It works commercially and it produces a predictable experience for the customer.
We went the other direction deliberately. A few domains (naval aviation sustainment, federal financial management, acquisition) with people who have already read the audits and know why the current process looks the way it does.
The difference shows up in the first two weeks. A team that has to learn the domain spends that time interviewing; a team that knows it spends that time finding the specific place where this program differs from the pattern.
This limits what we bid on, which is the point. Declining work outside our depth is the mechanism that keeps the depth real.
It also keeps engagements small enough that a named person can remain accountable throughout, which is a structural advantage that disappears the moment we stop protecting it.
If this describes a problem your program is carrying, the conversation starts with the question two systems answer differently.
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