// cloud · ai · platform engineering

We Brew Complex Cloud & AI Architecture Into Scalable Reality.

End-to-end planning and hands-on technical execution across AWS, Azure, and Google Cloud. We build the systems that power modern enterprise.

codebrew@architecture:~
$ codebrew deploy --target multi-cloud

> provisioning landing zones ......... ok
> zero-trust perimeter .............. ok
> multiagent orchestration layer .... ok
> data lake + realtime pipelines .... ok
> downtime during cutover ........... 00:00

✔ enterprise workload live across 3 regions

Executive Capabilities Statement

Codebrew Solutions provides high-intervention technology leadership and hands-on systems engineering. We specialize in migrating legacy infrastructure, deploying secure enterprise multiagent AI systems, and stabilizing high-stakes IT initiatives with a strict zero-downtime framework.

Core Engineering Pillars

10 delivery practices · one accountable team

01Execution & Planning

Multi-Cloud Migration

Lift-and-shift execution and cloud-native re-architecting across AWS, Azure, and Google Cloud.

02High Growth

AI & Multiagent Systems

Custom design and development of autonomous AI digital agents and private enterprise LLMs.

03Infrastructure

Preemptive Cybersecurity

Security-by-design frameworks, zero-trust rules, and continuous automated vulnerability scanning.

04Efficiency

Cloud FinOps Optimization

Structural multi-cloud auditing to eliminate idle computing power and slash monthly infrastructure spend.

05Strategy

Fractional CTO Leadership

Strategic architecture planning, platform selection, and technology governance for growing enterprises.

06Data Engineering

Automated Data Pipelines

Consolidating fragmented data structures into unified cloud data lakes optimized for real-time analytics.

07Compliance

Regulated Hybrid Cloud

Engineering secure bridges between physical hardware and public clouds tailored to strict regulatory laws.

08Preparation

AI Data Readiness

Auditing, cleansing, and formatting raw database assets to prepare systems for secure AI model ingestion.

09Automation

Platform Engineering & DevSecOps

Building unified developer platforms and automated pipelines with native, embedded security checks.

10High Intervention

Legacy Modernization & Rescue

Complete turnaround project management to rewrite aging software into resilient microservices.

./codebrew_estimator.sh --interactive

// select engineering pillars

// infrastructure scale

Multi-Team Production
Minimal SandboxMulti-Region Global Enterprise

// delivery speed

live output stream

{
  "engagement": "rough_order_of_magnitude",
  "pillars": [
    "multi-cloud-migration",
    "ai-multiagent"
  ],
  "infrastructure_scale": "multi_team_production",
  "delivery_mode": "standard_iterative",
  "estimated_duration_weeks": 10,
  "confidence": "directional"
}

estimated ROM range

$164,000 — $269,000 USD

~10 week engagement · Standard Iterative Delivery

[ Generate Formal SOW Brief ]

// non-binding directional estimate. Firm pricing issued with the SOW.

Clients Served

Johnson & JohnsonFreddie MacQinetiQJohnson & JohnsonFreddie MacQinetiQJohnson & JohnsonFreddie MacQinetiQJohnson & JohnsonFreddie MacQinetiQ

// operations_hq

Virginia-based engineering, delivered locally and remotely.

Codebrew Solutions operates out of Virginia, USA. We work on-site with organizations across the Commonwealth and the Washington, DC metro area, and deliver remote B2B engagements to enterprises throughout the United States and Canada.

HQ
Virginia, USA
Time zone
Eastern (ET)
On-site radius
VA · DC · MD
Remote coverage
US & Canada
  • On-site across Northern Virginia

    Hands-on delivery for teams in Arlington, Alexandria, Reston, Tysons, Richmond, and the wider DC metro — architecture workshops, migration cutover windows, and war-room support in the room with your engineers.

  • Public-sector adjacent standards

    Virginia's federal and defense corridor sets the bar. Every engagement is built to FedRAMP-adjacent, CMMC, and SOC 2 control expectations, with regulated hybrid cloud as a first-class pattern.

  • Remote B2B coverage, US & Canada

    Outside the corridor we run fully remote: overlapping Eastern Time coverage, shared Slack and repo access, recorded design reviews, and the same zero-downtime cutover framework.

  • Enterprise engagement model

    Fixed-scope statements of work, named senior engineers, and a formal SOW brief within two business days of your intake submission — no offshore hand-off, no junior bench.

// schedule

Book a consultation.

Pick a 30-minute slot with a senior architect. We review your current infrastructure, the pillars you selected in the estimator, and the constraints that matter — then follow up with a formal SOW brief within two business days.

  • · 30 minutes, Eastern Time (Virginia HQ)
  • · Senior engineer on the call — no sales screen
  • · Remote by default, on-site available across VA / DC / MD

Contact Us

Project Intake Questionnaire

Four steps. Your brief routes directly to our delivery leads, and a firm Statement of Work follows within 2 business days.

1. Identity2. Cloud Ecosystem3. Engineering Pillars4. Scale & Urgency

// faq

Frequently Asked Questions

What services does Codebrew Solutions provide?
We deliver multi-cloud migration, enterprise AI and multiagent systems, cybersecurity, cloud FinOps, fractional CTO leadership, data pipelines, regulated hybrid cloud, AI data readiness, platform engineering with DevSecOps, and legacy modernization rescue work.
Which cloud platforms do you work with?
AWS, Microsoft Azure, and Google Cloud, including hybrid and regulated environments that combine on-premise infrastructure with public cloud.
How much does an engagement cost?
Most engagements range from $45,000 to $250,000 depending on the pillars selected, infrastructure scale, and delivery speed. Our interactive ROM estimator returns a range instantly, and a formal SOW brief follows within two business days.
Where is Codebrew Solutions based?
Our operations headquarters is in Virginia, USA, and we deliver engagements remotely and on-site across the United States and Canada.
How do you avoid downtime during a migration?
Every engagement runs on a strict zero-downtime framework: phased cutovers, parallel-run validation, automated rollback paths, and continuous observability during each migration window.