Mission systems for public agencies.
PRR builds and runs AI and cloud systems for federal, state, and local programs inside FedRAMP-aligned environments.
Built close to the mission.
Every node is a live engagement: an agency, a program, a field operation. The lines are the hand-offs and shared outcomes that connect them, anchored by our offices in Washington, DC and Tampa.
Reach you can audit.
Figures grounded in live engagements, not roadmap projections.
What we build
Four practice areas, one delivery standard.
Systems that hold up in live operations and under audit. Each area below is something we have built and run, not a capability we are describing for the first time on this page.
Mission systems
Case management, multi-agency coordination, and field operations platforms that connect agency leadership to frontline teams. Chain of custody and consent tracking are designed in at the data model, not bolted on.
AI with accountability
Decision support, triage, and retrieval over mission data, with human-in-the-loop approval on every action, explainability, and full audit logging. Agents that do supervised work, not chatbots that summarize.
Secure cloud engineering
Production infrastructure for sensitive workloads: zero-trust identity, service-mesh encryption, and deployment topologies that run in commercial cloud, government regions, or air-gapped environments.
Vision and edge AI
Real-time computer vision for inspection, safety, and operational awareness, running at production frame rates on edge hardware in the field rather than in a lab.
Engagement model
How we work with agencies.
A four-phase path from a written mandate to a workload running inside your boundary, with the authorization package built alongside the system, not after it. The same principals stay on through all four phases.
Discovery and authorization gap analysis
Data inventory, system-of-record review, and a written gap analysis against FedRAMP, NIST 800-53 Rev. 5, and the NIST AI RMF, mapped to your target authorization boundary.
Pilot scope and governance setup
A narrow first use case, an AI governance memo your leadership can sign, a model risk framework, and the artifact checklist your authorizing official and inspector general will ask for.
Production build and evidence package
Build and ship inside your Azure Government, AWS GovCloud, or air-gapped environment. We produce the SSP inputs, control implementation summary, model cards, and POA&M alongside the system, so your evidence package is ready when your AO is. Authorization itself moves at your boundary's pace, not ours.
Operations and continuous monitoring
Monitoring, drift detection, periodic validation, and a reporting cadence aligned to your continuous-monitoring obligations. We own the run-rate; you own the mission.
From the field
A platform we built and still run.
Federal pilot · anonymized
A two-environment architecture for a federal investigative pilot: live operations inside a FedRAMP-High authorization boundary, with de-identified research and analytics in a separate commercial hub. The same platform ran victim-services workflows in live field operations during large-scale public events.
Multi-agency coordination connecting federal leadership to frontline aftercare, with chain of custody and consent tracking at every hand-off.
Isolated environments
An operations boundary and a separate de-identified analytics hub.
How we deliver
Senior architects, from scope to production.
Senior architects, end to end
The architect in the room during discovery is the architect delivering in production. No handoffs, no translation layer between you and the people doing the work.
Time-to-production is the metric
Scoped production pilots that convert into multi-phase rollouts, measured in weeks of delivery rather than budget cycles. The pilot runs in your environment, not a sandbox.
Compliance from the first commit
Engagements are architected against the controls you operate under from day one, so the assessor sees a system that was built for the boundary, not retrofitted to it.
Compliance posture
Built to your authorization boundary.
We architect to the controls your environment requires, whether that is a commercial tenant, a government cloud region, or an air-gapped enclave. Every framework below maps to a specific artifact we hand you.
FedRAMP
Moderate & High baseline
System Security Plan inputs, a control implementation summary, an authorization boundary diagram, and a POA&M maintained through continuous monitoring.
NIST SP 800-53 Rev. 5
FISMA control baseline
A control implementation matrix and the evidence package your authorizing official reads directly, for federal civilian and homeland security workloads.
NIST AI RMF 1.0
Govern · Map · Measure · Manage
A profile document per deployed model, with drift monitoring, bias and performance reporting, and full audit logging on a fixed cadence.
FIPS 140 + Zero Trust
Cryptography & identity
FIPS-validated cryptography with a zero-trust identity layer: Istio service-mesh mTLS, centralized identity and RBAC through Keycloak, and full audit trails across every federal-facing surface.
HIPAA + 42 CFR Part 2
Health & human services
Encryption at rest and in transit, BAAs with every subprocessor, and consent handling built for sensitive patient and victim data.
Section 508 / WCAG 2.1
Public-facing systems
Accessibility conformance reporting (VPAT) delivered with every public-facing system.
We also architect to CJIS, IRS Pub. 1075, and PIV / CAC SSO where a deployment requires it.
FAQ
Questions your CIO and CISO are going to ask.
The ones we hear most on the first technical call.
Where does our data live during training and inference?
Can you deliver an ATO-ready system, not just a model?
Can you work in air-gapped or classified-adjacent environments?
Who owns the system, the data, and the documentation if we part ways?
How fast, given federal authorization realities?
Talk to the people who will build it.
Thirty minutes, straight to an architect. We will walk through your constraints, your authorization boundary, and what a first pilot would actually look like.