arosplatforms™AI consultancy
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A scenic view of skyline buildings and Key Bridge reflecting on the Potomac River.
AI consulting · Northeast US, United States

AI Consulting in Washington DC

The capital of policy and contracting, with custom AI built for compliance and owned by you.

$100B+
annual federal IT and services spend in the region
EST
we work your business hours
CMMC
aware by design
Photo: Sideesh Balasubramani / Pexels
01 The Washington DC mix

What Washington DC builds, and where the AI leverage sits

Government & public sector40%Defense & intel contracting30%Legal & professional services20%Healthcare & life sciences10%

Working alongside teams like

Booz Allen HamiltonLeidosMITRECapital OneMedStar HealthLockheed MartinGeorgetown UniversityGeorge Washington UniversityUniversity of Maryland
Booz Allen HamiltonLeidosMITRECapital OneMedStar HealthLockheed MartinGeorgetown UniversityGeorge Washington UniversityUniversity of Maryland
The Washington DC pulse

Washington DC by the numbers

$0B+

annual federal IT and services spend in the region

EST

we work your business hours

CMMC

aware by design

On the ground across

Downtown DC / Federal TriangleTysonsReston / Dulles corridorCrystal City / National LandingBethesda
02 The Washington DC landscape

Washington DC runs on federal missions and the contractors that serve them. The agencies along the National Mall and the federal contracting and intel community spread across Northern Virginia's Dulles corridor and the Maryland suburbs near NSA define the work: secure, accountable, and heavily regulated. Tysons and Reston hold a dense bench of systems integrators and defense primes, while the District itself is thick with policy shops, law firms, and associations.

Health is significant too, with systems like MedStar and Johns Hopkins nearby in Baltimore.

arosplatforms builds production AI for the DC region that has to clear security and governance review, not just impress in a demo: grounded systems with human oversight, deployed in your own cloud, audit-ready, and owned by you. We work on Eastern time and meet on the ground when it matters.

Talent & research

  • Georgetown University
  • George Washington University
  • University of Maryland

Compliance context

NIST AI RMFCMMCFedRAMPHIPAA

Frameworks we design around from day one, so nothing gets retrofitted later.

04 Industries

Industries we serve in Washington DC

05 How we deliver for Washington DC

We deliver on Eastern time, can be on the ground from downtown DC to Tysons and Reston for discovery and security workshops, and run the rest remotely so momentum never stalls. Every system is deployed in your own cloud, documented for audit against NIST and CMMC expectations, and owned by your team, which is non-negotiable in this region.

01

Discover

On the ground

We meet your team locally to map the highest-leverage problem and the data behind it.

02

Build

In your cloud

We engineer, evaluate, and harden the system inside your environment, not ours.

03

Run

Owned by you

You get the code, the weights, and the documentation. We can run it or hand it over.

Case study · Washington DC

Citizen services transformed

Built for a team like yours: what we shipped, how long it took, and what it changed in production.

Read the case study

Nearby & region

06 FAQ

AI consulting in Washington DC, answered

It depends on scope. A focused readiness assessment or a single production use case is a fixed-fee engagement; a governed, security-reviewed build for an agency or integrator is scoped after a free discovery call. We give you an honest range and a sequenced plan first.

Government and public sector, defense and intel contracting, and professional services see the fastest return. An agency streamlining case intake, a Dulles-corridor integrator automating analysis, and a K Street firm doing policy review all have workloads where grounded AI pays off.

We are remote-first and work on Eastern time, meeting clients on the ground from the Federal Triangle to Tysons and Reston for discovery, workshops, and key milestones. Your AI runs in your own cloud, not ours.

Yes. We design to the NIST AI Risk Management Framework, deploy in your environment to support CMMC and FedRAMP boundaries, and produce the documentation and red-team evidence that security reviewers in this region require.

A first production use case typically goes live in weeks once the security path is clear. We start from the highest-leverage problem, prove it with evaluation, then expand within your authorized environment.

Ready to build AI in Washington DC?

Book a free consultation. We'll map the highest-leverage use case for your team and show you exactly how we'd ship it.